Notes from Kelsea:
- behavioral measures from the EZM (DV) are altered by my PNN/PV measures (IV) and modulated by Rearing and/or Housing.
- centered all of my PNN/PV measures around the means to solve any potential problems with multicolinearity.
- splitting the analyses by Sex because all of the literature warns me against running regressions with 4 IVs lol.
- run an interaction analysis (so I can actually say whether MS and/or SI changed the relationship between PNN/PV count/intensity and behavioral outcomes), so I created interaction terms by multiplying each of my PNN/PV measures by my categorical Rearing and Housing variables. I have interaction terms for PNN/PV measure X Rearing X Housing (three-way), PNN/PV measure X Rearing (two-way), and PNN/PV measure X Housing (two-way).
Loop Notes:
- run the regressions with every behavioral measure (5) with every PNN/PV measure (7 each for PL and IL)
- Algorithm: [behavioral measure] ~ [centered PNN/PV measure] + Rearing + Housing + [centered PNN/PV measure]:Rearing + [centered PNN/PV measure]:Housing + [centered PNN/PV measure]:Rearing:Housing separately for males and females
- a regression for each behavioral measure (time open, frequency to open, crossings, head pokes, and head poke duration) with each centered PNN/PV measure - the ones ending in "_c" - (PV count, PV intensity, PNN count, PNN intensity, PNN positive PV count, PNN positive PV intensity, PV positive PNN intensity) in the PL and IL ## - 140 regressions (5 behavior measure, 7 PNN/PV measures, 2 regions, 2 sexes)
Loading library, saving dataset, exploring data
# Loading library
library(foreign)
library(jtools)
## Warning: package 'jtools' was built under R version 4.0.2
library(interactions)
## Warning: package 'interactions' was built under R version 4.0.2
library(leaps)
## Warning: package 'leaps' was built under R version 4.0.2
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
# Saving SPSS file from my local computer (please update this address depending on where you save this file)
dataset <- read.spss(file = "/Users/alissavalentine/EZM_PNN_Regressions_min.sav", to.data.frame=TRUE)
# Reformating as a tibble
dataset <- as_tibble(dataset)
# checking out data values
summary(dataset)
## Subject Rearing Housing Sex time_open freq_open
## Min. :70.01 Con:43 PH:40 Male :43 Min. : 0.00 Min. : 0.00
## 1st Qu.:70.22 MS :40 SI:43 Female:40 1st Qu.: 20.28 1st Qu.: 2.00
## Median :70.48 Median : 42.46 Median : 4.00
## Mean :70.48 Mean : 42.17 Mean : 5.06
## 3rd Qu.:70.72 3rd Qu.: 63.88 3rd Qu.: 8.00
## Max. :70.95 Max. :111.40 Max. :16.00
## crossings head_pokes head_poke_duration PV_count_PL_c
## Min. : 0.000 Min. : 3.00 Min. : 4.216 Min. :-34.77209
## 1st Qu.: 0.000 1st Qu.:10.00 1st Qu.: 50.839 1st Qu.: -7.06375
## Median : 2.000 Median :12.00 Median : 72.807 Median : 0.06124
## Mean : 3.711 Mean :12.52 Mean : 74.927 Mean : 0.00000
## 3rd Qu.: 6.500 3rd Qu.:15.00 3rd Qu.: 94.308 3rd Qu.: 5.43625
## Max. :16.976 Max. :25.00 Max. :184.694 Max. : 31.31124
## PV_intensity_PL_c PNN_count_PL_c PNN_intensity_PL_c
## Min. :-1.07087 Min. :-15.9488 Min. :-0.961380
## 1st Qu.:-0.33852 1st Qu.: -5.9071 1st Qu.:-0.344334
## Median :-0.04075 Median : -0.6155 Median :-0.003504
## Mean : 0.00000 Mean : 0.0000 Mean : 0.000000
## 3rd Qu.: 0.31348 3rd Qu.: 5.1762 3rd Qu.: 0.300937
## Max. : 1.74268 Max. : 31.8845 Max. : 1.460846
## PNN_pos_PV_count_PL_c PNN_pos_PV_intensity_PL_c PV_pos_PNN_intensity_PL_c
## Min. :-13.0575 Min. :-1.53321 Min. :-1.04919
## 1st Qu.: -3.6825 1st Qu.:-0.49589 1st Qu.:-0.37096
## Median : 0.3592 Median :-0.04358 Median : 0.02485
## Mean : 0.0000 Mean : 0.00000 Mean : 0.00000
## 3rd Qu.: 3.6092 3rd Qu.: 0.43310 3rd Qu.: 0.30640
## Max. : 13.2758 Max. : 2.00368 Max. : 1.58747
## PV_count_IL_c PV_intensity_IL_c PNN_count_IL_c PNN_intensity_IL_c
## Min. :-25.619 Min. :-0.67955 Min. :-22.522 Min. :-0.73263
## 1st Qu.: -6.369 1st Qu.:-0.27013 1st Qu.: -4.938 1st Qu.:-0.25804
## Median : -1.119 Median :-0.08014 Median : 0.145 Median :-0.03373
## Mean : 0.000 Mean : 0.00000 Mean : 0.000 Mean : 0.00000
## 3rd Qu.: 7.048 3rd Qu.: 0.22443 3rd Qu.: 6.562 3rd Qu.: 0.20849
## Max. : 27.214 Max. : 1.30479 Max. : 30.478 Max. : 1.16110
## PNN_pos_PV_count_IL_c PNN_pos_PV_intensity_IL_c PV_pos_PNN_intensity_IL_c
## Min. :-11.6755 Min. :-0.9345 Min. :-1.004613
## 1st Qu.: -2.5922 1st Qu.:-0.3334 1st Qu.:-0.352438
## Median : 0.8245 Median :-0.1236 Median :-0.008913
## Mean : 0.0000 Mean : 0.0000 Mean : 0.000000
## 3rd Qu.: 3.9078 3rd Qu.: 0.2363 3rd Qu.: 0.338553
## Max. : 10.1578 Max. : 1.3111 Max. : 1.415270
Creating Male and Female datasets
# Creating data set for males
dataset_males <- dataset %>%
filter(dataset$'Sex' == "Male")
# Creating data set for females
dataset_females <- dataset %>%
filter(dataset$'Sex' == "Female")
Creating/Running Trial Multiple Regression Algorithm for Interaction Terms with Male Data
Two graphs included that show differences in housing and rearing
# Creating male linear model for DV = time open; IV = PV_count_c; interaction terms: Housing, Rearing
maleslm_timeopen_PVcountPLc <- lm(time_open ~ PV_count_PL_c + Rearing + Housing + Rearing:Housing:PV_count_PL_c + PV_count_PL_c:Rearing + PV_count_PL_c:Housing, data = dataset_males)
# summary of linear model
summary(maleslm_timeopen_PVcountPLc)
##
## Call:
## lm(formula = time_open ~ PV_count_PL_c + Rearing + Housing +
## Rearing:Housing:PV_count_PL_c + PV_count_PL_c:Rearing + PV_count_PL_c:Housing,
## data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -42.430 -18.464 2.095 14.378 51.721
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 27.02373 7.83211 3.450 0.00145 **
## PV_count_PL_c 0.09044 1.02130 0.089 0.92993
## RearingMS 7.14510 8.40628 0.850 0.40096
## HousingSI 16.60989 8.48236 1.958 0.05799 .
## PV_count_PL_c:RearingMS 0.19929 1.45124 0.137 0.89154
## PV_count_PL_c:HousingSI -0.80013 1.27246 -0.629 0.53344
## PV_count_PL_c:RearingMS:HousingSI -0.59539 1.77444 -0.336 0.73917
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.73 on 36 degrees of freedom
## Multiple R-squared: 0.2142, Adjusted R-squared: 0.08326
## F-statistic: 1.636 on 6 and 36 DF, p-value: 0.1657
# running anova on the model
anova(maleslm_timeopen_PVcountPLc)
# A pretty display of stats
summ(maleslm_timeopen_PVcountPLc)
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.64, p = 0.17
## R² = 0.21
## Adj. R² = 0.08
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 27.02 7.83 3.45 0.00
## PV_count_PL_c 0.09 1.02 0.09 0.93
## RearingMS 7.15 8.41 0.85 0.40
## HousingSI 16.61 8.48 1.96 0.06
## PV_count_PL_c:RearingMS 0.20 1.45 0.14 0.89
## PV_count_PL_c:HousingSI -0.80 1.27 -0.63 0.53
## PV_count_PL_c:RearingMS:HousingSI -0.60 1.77 -0.34 0.74
## ----------------------------------------------------------------------
# Plotting interaction with original scatter plot points, lines based off Rearing condition, and confidence bands with 95%
interact_plot(maleslm_timeopen_PVcountPLc, pred = PV_count_PL_c, modx = Rearing, mod2 = Housing, plot.points = TRUE, interval = TRUE, int.width = 0.95)
# Plotting the regression analysis
plot(maleslm_timeopen_PVcountPLc)
Creating/Running Trial Multiple Regression Algorithm for Interaction Terms with Female Data
Two graphs included that show differences in housing and rearing
# Creating female linear model for DV = time open; IV = PV_count_c; interaction terms: Housing, Rearing
femaleslm_timeopen_PVcountPLc <- lm(time_open ~ PV_count_PL_c + Rearing + Housing + Rearing:Housing:PV_count_PL_c + PV_count_PL_c:Rearing + PV_count_PL_c:Housing, data = dataset_females)
# summary of linear model
summary(femaleslm_timeopen_PVcountPLc)
##
## Call:
## lm(formula = time_open ~ PV_count_PL_c + Rearing + Housing +
## Rearing:Housing:PV_count_PL_c + PV_count_PL_c:Rearing + PV_count_PL_c:Housing,
## data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -53.379 -13.063 -1.834 16.720 55.927
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 43.04566 8.69481 4.951 2.13e-05 ***
## PV_count_PL_c 1.19534 1.22846 0.973 0.338
## RearingMS -7.97890 10.34659 -0.771 0.446
## HousingSI 9.12843 10.35916 0.881 0.385
## PV_count_PL_c:RearingMS 0.13423 1.51228 0.089 0.930
## PV_count_PL_c:HousingSI -1.07901 1.42652 -0.756 0.455
## PV_count_PL_c:RearingMS:HousingSI 0.00247 1.92256 0.001 0.999
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.89 on 33 degrees of freedom
## Multiple R-squared: 0.126, Adjusted R-squared: -0.03291
## F-statistic: 0.7929 on 6 and 33 DF, p-value: 0.5821
# running anova on the model
anova(femaleslm_timeopen_PVcountPLc)
# A pretty display of stats
summ(femaleslm_timeopen_PVcountPLc)
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.79, p = 0.58
## R² = 0.13
## Adj. R² = -0.03
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------- -------- ------
## (Intercept) 43.05 8.69 4.95 0.00
## PV_count_PL_c 1.20 1.23 0.97 0.34
## RearingMS -7.98 10.35 -0.77 0.45
## HousingSI 9.13 10.36 0.88 0.38
## PV_count_PL_c:RearingMS 0.13 1.51 0.09 0.93
## PV_count_PL_c:HousingSI -1.08 1.43 -0.76 0.45
## PV_count_PL_c:RearingMS:HousingSI 0.00 1.92 0.00 1.00
## -----------------------------------------------------------------------
# Plotting interaction with original scatter plot points, lines based off Rearing condition, and confidence bands with 95%
interact_plot(femaleslm_timeopen_PVcountPLc, pred = PV_count_PL_c, modx = Rearing, mod2 = Housing, plot.points = TRUE, interval = TRUE, int.width = 0.95)
# Plotting the regression analysis
plot(femaleslm_timeopen_PVcountPLc)
Preparing Variables for Running Multiple Regression
Creating new variables that hold the names of behavior and PNN/PV variables
# Saving column names for the behavior variables into 'behavior' list
behavior <- colnames(dataset_females[5:9])
# Saving column names for the PNN/PV variables into 'PNNPV' list
PNNPV <- colnames(dataset_females[10:23])
Running the Female Multiple Regression
# Female multiple regression loop using the following equation:
# linear model = *behavior measure* ~ *PNN/PV measure* + Rearing + Housing + Rearing:Housing:*PNN/PV measure* + *PNN/PV measure*:Rearing + *PNN/PV measure*:Housing"
# This loop iterates through each behaviorial measure, running a mulitple linear regression with behavioral variable as DV, and each PNN/PV variable as the IV being iterated through the regression for each behavior variable (i.e. 5 behaviors x 14 PNN/PV variables = 70 regressions)
for (i in 1:length(behavior)){ # iterate through each behavior
b <- behavior[i] # saving behavior variable name as 'b' for each iteration
assign((paste("femalelm", b, sep = "_")), lapply(PNNPV, function(x){
lm(as.formula(paste(b," ~ ", x," + Rearing + Housing + Rearing:Housing:", x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)})) # assigning the results from the multiple linear regression (where PNN/PV variables are iterating) to a list named 'femalelm' + name of behavioral measure
}
Running the Male Multiple Regression
# Male multiple regression loop using the following equation:
# linear model = *behavior measure* ~ *PNN/PV measure* + Rearing + Housing + Rearing:Housing:*PNN/PV measure* + *PNN/PV measure*:Rearing + *PNN/PV measure*:Housing"
# This loop iterates through each behaviorial measure, running a mulitple linear regression with behavioral variable as DV, and each PNN/PV variable as the IV being iterated through the regression for each behavior variable (i.e. 5 behaviors x 14 PNN/PV variables = 70 regressions)
for (i in 1:length(behavior)){ # iterate through each behavior
b <- behavior[i] # saving behavior variable name as 'b' for each iteration
assign((paste("malelm", b, sep = "_")), lapply(PNNPV, function(x){
lm(as.formula(paste(b," ~ ", x," + Rearing + Housing + Rearing:Housing:", x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)})) # assigning the results from the multiple linear regression (where PNN/PV variables are iterating) to a list named 'malelm' + name of behavioral measure
}
Accessing One Linear Model at a Time
Key to female/male linear model lists:
[[1]] - PV_count_PL_c
[[2]] - PV_intensity_PL_c
[[3]] - PNN_count_PL_c
[[4]] - PNN_intensity_PL_c
[[5]] - PNN_pos_PV_count_PL_c
[[6]] - PNN_pos_PV_intensity_PL_c
[[7]] - PV_pos_PNN_intensity_PL_c
[[8]] - PV_count_IL_c
[[9]] - PV_intensity_IL_c
[[10]] - PNN_count_IL_c
[[11]] - PNN_intensity_IL_c
[[12]] - PNN_pos_PV_count_IL_c
[[13]] - PNN_pos_PV_intensity_IL_c
[[14]] - PV_pos_PNN_intensity_IL_c
Example: How to access one linear model
Using Female, Head Pokes, PV_pos_PNN_intensity_PL_c data below for example
# This is returning the stats on DV: PV_pos_PNN_intensity_PL_c
# Use key above to identify which variable you want to look at and replace '7' with that number (that will select the correct data frame from the list that holds the data you want)
summary(femalelm_head_pokes[[7]])
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.8018 -2.0303 -0.0975 2.8142 8.8290
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.607 1.322 10.290
## PV_pos_PNN_intensity_PL_c -2.710 3.377 -0.802
## RearingMS -0.150 1.614 -0.093
## HousingSI -2.408 1.573 -1.532
## PV_pos_PNN_intensity_PL_c:RearingMS 3.306 4.014 0.824
## PV_pos_PNN_intensity_PL_c:HousingSI 2.303 4.184 0.551
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -9.652 6.677 -1.446
## Pr(>|t|)
## (Intercept) 7.88e-12 ***
## PV_pos_PNN_intensity_PL_c 0.428
## RearingMS 0.927
## HousingSI 0.135
## PV_pos_PNN_intensity_PL_c:RearingMS 0.416
## PV_pos_PNN_intensity_PL_c:HousingSI 0.586
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.158
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.106 on 33 degrees of freedom
## Multiple R-squared: 0.14, Adjusted R-squared: -0.01633
## F-statistic: 0.8956 on 6 and 33 DF, p-value: 0.5096
summ(femalelm_head_pokes[[7]])
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.90, p = 0.51
## R² = 0.14
## Adj. R² = -0.02
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.61 1.32 10.29 0.00
## PV_pos_PNN_intensity_PL_c -2.71 3.38 -0.80 0.43
## RearingMS -0.15 1.61 -0.09 0.93
## HousingSI -2.41 1.57 -1.53 0.14
## PV_pos_PNN_intensity_PL_c:RearingMS 3.31 4.01 0.82 0.42
## PV_pos_PNN_intensity_PL_c:HousingSI 2.30 4.18 0.55 0.59
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -9.65 6.68 -1.45 0.16
## ----------------------------------------------------------------------------------
anova(femalelm_head_pokes[[7]])
plot(femalelm_head_pokes[[7]])
Statistics for Female Subjects
Female - Crossings
# Returning summary, summ, and anova stats for every linear model in the femalelm_crossings list
lapply(femalelm_crossings, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
print(plot(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.7345 -2.0891 -0.3739 2.4823 7.1868
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.78348 0.98812 3.829 0.000545 ***
## PV_count_PL_c -0.03476 0.13961 -0.249 0.804909
## RearingMS -2.43856 1.17583 -2.074 0.045966 *
## HousingSI 2.32954 1.17726 1.979 0.056236 .
## PV_count_PL_c:RearingMS 0.10550 0.17186 0.614 0.543532
## PV_count_PL_c:HousingSI 0.20927 0.16212 1.291 0.205717
## PV_count_PL_c:RearingMS:HousingSI -0.24175 0.21849 -1.106 0.276531
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.397 on 33 degrees of freedom
## Multiple R-squared: 0.3725, Adjusted R-squared: 0.2584
## F-statistic: 3.265 on 6 and 33 DF, p-value: 0.01244
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 3.26, p = 0.01
## R² = 0.37
## Adj. R² = 0.26
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 3.78 0.99 3.83 0.00
## PV_count_PL_c -0.03 0.14 -0.25 0.80
## RearingMS -2.44 1.18 -2.07 0.05
## HousingSI 2.33 1.18 1.98 0.06
## PV_count_PL_c:RearingMS 0.11 0.17 0.61 0.54
## PV_count_PL_c:HousingSI 0.21 0.16 1.29 0.21
## PV_count_PL_c:RearingMS:HousingSI -0.24 0.22 -1.11 0.28
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 61.48 61.476 5.3281 0.02739 *
## Rearing 1 56.34 56.341 4.8830 0.03417 *
## Housing 1 85.03 85.029 7.3695 0.01047 *
## PV_count_PL_c:Rearing 1 3.58 3.580 0.3103 0.58126
## PV_count_PL_c:Housing 1 5.47 5.467 0.4738 0.49604
## PV_count_PL_c:Rearing:Housing 1 14.13 14.125 1.2242 0.27653
## Residuals 33 380.76 11.538
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.1691 -2.5525 -0.2538 2.3500 7.7617
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.1715 0.9966 4.186 0.000198 ***
## PV_intensity_PL_c 0.5674 3.2391 0.175 0.862011
## RearingMS -3.2004 1.1865 -2.697 0.010923 *
## HousingSI 2.9261 1.1813 2.477 0.018540 *
## PV_intensity_PL_c:RearingMS -0.9786 3.7546 -0.261 0.795999
## PV_intensity_PL_c:HousingSI -3.3363 4.1101 -0.812 0.422764
## PV_intensity_PL_c:RearingMS:HousingSI 3.9552 5.4022 0.732 0.469247
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.574 on 33 degrees of freedom
## Multiple R-squared: 0.3052, Adjusted R-squared: 0.1788
## F-statistic: 2.415 on 6 and 33 DF, p-value: 0.04794
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.42, p = 0.05
## R² = 0.31
## Adj. R² = 0.18
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 4.17 1.00 4.19 0.00
## PV_intensity_PL_c 0.57 3.24 0.18 0.86
## RearingMS -3.20 1.19 -2.70 0.01
## HousingSI 2.93 1.18 2.48 0.02
## PV_intensity_PL_c:RearingMS -0.98 3.75 -0.26 0.80
## PV_intensity_PL_c:HousingSI -3.34 4.11 -0.81 0.42
## PV_intensity_PL_c:RearingMS:HousingSI 3.96 5.40 0.73 0.47
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 1.99 1.994 0.1560 0.695368
## Rearing 1 97.90 97.901 7.6628 0.009173 **
## Housing 1 73.32 73.319 5.7388 0.022425 *
## PV_intensity_PL_c:Rearing 1 3.15 3.154 0.2469 0.622588
## PV_intensity_PL_c:Housing 1 1.94 1.945 0.1522 0.698931
## PV_intensity_PL_c:Rearing:Housing 1 6.85 6.849 0.5360 0.469247
## Residuals 33 421.61 12.776
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.4812 -1.7023 -0.1948 1.9039 7.5753
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.68548 1.00708 3.660 0.000874 ***
## PNN_count_PL_c -0.03931 0.15628 -0.252 0.802950
## RearingMS -2.36322 1.23001 -1.921 0.063368 .
## HousingSI 3.24739 1.21238 2.679 0.011438 *
## PNN_count_PL_c:RearingMS 0.21878 0.23258 0.941 0.353717
## PNN_count_PL_c:HousingSI 0.21903 0.20340 1.077 0.289359
## PNN_count_PL_c:RearingMS:HousingSI -0.16081 0.34267 -0.469 0.641957
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.397 on 33 degrees of freedom
## Multiple R-squared: 0.3722, Adjusted R-squared: 0.2581
## F-statistic: 3.261 on 6 and 33 DF, p-value: 0.01251
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 3.26, p = 0.01
## R² = 0.37
## Adj. R² = 0.26
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 3.69 1.01 3.66 0.00
## PNN_count_PL_c -0.04 0.16 -0.25 0.80
## RearingMS -2.36 1.23 -1.92 0.06
## HousingSI 3.25 1.21 2.68 0.01
## PNN_count_PL_c:RearingMS 0.22 0.23 0.94 0.35
## PNN_count_PL_c:HousingSI 0.22 0.20 1.08 0.29
## PNN_count_PL_c:RearingMS:HousingSI -0.16 0.34 -0.47 0.64
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 40.48 40.478 3.5068 0.070000 .
## Rearing 1 66.19 66.190 5.7343 0.022473 *
## Housing 1 97.58 97.583 8.4540 0.006466 **
## PNN_count_PL_c:Rearing 1 7.32 7.320 0.6342 0.431526
## PNN_count_PL_c:Housing 1 11.75 11.748 1.0178 0.320389
## PNN_count_PL_c:Rearing:Housing 1 2.54 2.542 0.2202 0.641957
## Residuals 33 380.91 11.543
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3586 -1.7342 -0.5229 2.1876 7.1725
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.901 1.075 3.629 0.000952 ***
## PNN_intensity_PL_c -2.321 3.237 -0.717 0.478496
## RearingMS -2.398 1.351 -1.774 0.085209 .
## HousingSI 2.624 1.313 1.999 0.053933 .
## PNN_intensity_PL_c:RearingMS 2.900 3.785 0.766 0.449139
## PNN_intensity_PL_c:HousingSI 7.375 3.976 1.855 0.072583 .
## PNN_intensity_PL_c:RearingMS:HousingSI -5.233 6.504 -0.805 0.426788
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.336 on 33 degrees of freedom
## Multiple R-squared: 0.3948, Adjusted R-squared: 0.2847
## F-statistic: 3.588 on 6 and 33 DF, p-value: 0.007568
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 3.59, p = 0.01
## R² = 0.39
## Adj. R² = 0.28
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.90 1.07 3.63 0.00
## PNN_intensity_PL_c -2.32 3.24 -0.72 0.48
## RearingMS -2.40 1.35 -1.77 0.09
## HousingSI 2.62 1.31 2.00 0.05
## PNN_intensity_PL_c:RearingMS 2.90 3.79 0.77 0.45
## PNN_intensity_PL_c:HousingSI 7.38 3.98 1.85 0.07
## PNN_intensity_PL_c:RearingMS:HousingSI -5.23 6.50 -0.80 0.43
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 18.86 18.859 1.6947 0.20200
## Rearing 1 78.01 78.007 7.0097 0.01233 *
## Housing 1 97.82 97.817 8.7898 0.00559 **
## PNN_intensity_PL_c:Rearing 1 1.23 1.227 0.1103 0.74190
## PNN_intensity_PL_c:Housing 1 36.42 36.424 3.2731 0.07954 .
## PNN_intensity_PL_c:Rearing:Housing 1 7.20 7.205 0.6474 0.42679
## Residuals 33 367.24 11.128
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.0428 -2.0126 -0.4087 2.4117 7.4525
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.72555 1.03759 3.591 0.00106
## PNN_pos_PV_count_PL_c -0.04009 0.25866 -0.155 0.87778
## RearingMS -2.50802 1.26242 -1.987 0.05531
## HousingSI 2.79007 1.25448 2.224 0.03310
## PNN_pos_PV_count_PL_c:RearingMS 0.19140 0.31508 0.607 0.54770
## PNN_pos_PV_count_PL_c:HousingSI 0.33697 0.32072 1.051 0.30104
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -0.34748 0.44918 -0.774 0.44468
##
## (Intercept) **
## PNN_pos_PV_count_PL_c
## RearingMS .
## HousingSI *
## PNN_pos_PV_count_PL_c:RearingMS
## PNN_pos_PV_count_PL_c:HousingSI
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.451 on 33 degrees of freedom
## Multiple R-squared: 0.3522, Adjusted R-squared: 0.2344
## F-statistic: 2.99 on 6 and 33 DF, p-value: 0.01915
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.99, p = 0.02
## R² = 0.35
## Adj. R² = 0.23
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.73 1.04 3.59 0.00
## PNN_pos_PV_count_PL_c -0.04 0.26 -0.15 0.88
## RearingMS -2.51 1.26 -1.99 0.06
## HousingSI 2.79 1.25 2.22 0.03
## PNN_pos_PV_count_PL_c:RearingMS 0.19 0.32 0.61 0.55
## PNN_pos_PV_count_PL_c:HousingSI 0.34 0.32 1.05 0.30
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -0.35 0.45 -0.77 0.44
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 38.65 38.654 3.2450 0.080784 .
## Rearing 1 65.85 65.853 5.5284 0.024834 *
## Housing 1 95.98 95.980 8.0576 0.007695 **
## PNN_pos_PV_count_PL_c:Rearing 1 0.04 0.037 0.0031 0.955618
## PNN_pos_PV_count_PL_c:Housing 1 6.04 6.035 0.5067 0.481581
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 7.13 7.129 0.5984 0.444679
## Residuals 33 393.09 11.912
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.9579 -2.6642 -0.3638 2.3023 7.8654
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 4.0084 1.0199 3.930
## PNN_pos_PV_intensity_PL_c -0.8377 2.8042 -0.299
## RearingMS -2.9564 1.2080 -2.447
## HousingSI 3.0578 1.2006 2.547
## PNN_pos_PV_intensity_PL_c:RearingMS 0.4353 3.3163 0.131
## PNN_pos_PV_intensity_PL_c:HousingSI -0.8308 3.3203 -0.250
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 2.2798 4.3905 0.519
## Pr(>|t|)
## (Intercept) 0.00041 ***
## PNN_pos_PV_intensity_PL_c 0.76701
## RearingMS 0.01988 *
## HousingSI 0.01572 *
## PNN_pos_PV_intensity_PL_c:RearingMS 0.89635
## PNN_pos_PV_intensity_PL_c:HousingSI 0.80396
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.60705
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.577 on 33 degrees of freedom
## Multiple R-squared: 0.304, Adjusted R-squared: 0.1775
## F-statistic: 2.402 on 6 and 33 DF, p-value: 0.04897
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.40, p = 0.05
## R² = 0.30
## Adj. R² = 0.18
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 4.01 1.02 3.93 0.00
## PNN_pos_PV_intensity_PL_c -0.84 2.80 -0.30 0.77
## RearingMS -2.96 1.21 -2.45 0.02
## HousingSI 3.06 1.20 2.55 0.02
## PNN_pos_PV_intensity_PL_c:RearingMS 0.44 3.32 0.13 0.90
## PNN_pos_PV_intensity_PL_c:HousingSI -0.83 3.32 -0.25 0.80
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 2.28 4.39 0.52 0.61
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 1.98 1.978 0.1546 0.696728
## Rearing 1 97.65 97.653 7.6307 0.009306 **
## Housing 1 73.45 73.445 5.7391 0.022421 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 7.36 7.364 0.5754 0.453497
## PNN_pos_PV_intensity_PL_c:Housing 1 0.57 0.571 0.0446 0.833982
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 3.45 3.450 0.2696 0.607048
## Residuals 33 422.31 12.797
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.5102 -1.8809 -0.2913 2.2170 7.2580
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 3.922 1.078 3.640
## PV_pos_PNN_intensity_PL_c -1.619 2.752 -0.588
## RearingMS -2.543 1.315 -1.933
## HousingSI 2.726 1.281 2.128
## PV_pos_PNN_intensity_PL_c:RearingMS 2.339 3.270 0.715
## PV_pos_PNN_intensity_PL_c:HousingSI 6.044 3.409 1.773
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -4.548 5.440 -0.836
## Pr(>|t|)
## (Intercept) 0.000923 ***
## PV_pos_PNN_intensity_PL_c 0.560245
## RearingMS 0.061858 .
## HousingSI 0.040932 *
## PV_pos_PNN_intensity_PL_c:RearingMS 0.479534
## PV_pos_PNN_intensity_PL_c:HousingSI 0.085499 .
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.409142
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.346 on 33 degrees of freedom
## Multiple R-squared: 0.3912, Adjusted R-squared: 0.2805
## F-statistic: 3.534 on 6 and 33 DF, p-value: 0.00821
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 3.53, p = 0.01
## R² = 0.39
## Adj. R² = 0.28
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.92 1.08 3.64 0.00
## PV_pos_PNN_intensity_PL_c -1.62 2.75 -0.59 0.56
## RearingMS -2.54 1.32 -1.93 0.06
## HousingSI 2.73 1.28 2.13 0.04
## PV_pos_PNN_intensity_PL_c:RearingMS 2.34 3.27 0.72 0.48
## PV_pos_PNN_intensity_PL_c:HousingSI 6.04 3.41 1.77 0.09
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -4.55 5.44 -0.84 0.41
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 18.80 18.801 1.6796 0.203973
## Rearing 1 78.38 78.383 7.0023 0.012376 *
## Housing 1 100.32 100.315 8.9616 0.005192 **
## PV_pos_PNN_intensity_PL_c:Rearing 1 1.12 1.125 0.1005 0.753269
## PV_pos_PNN_intensity_PL_c:Housing 1 30.93 30.926 2.7628 0.105953
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 7.82 7.824 0.6990 0.409142
## Residuals 33 369.40 11.194
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.2248 -2.1349 -0.3646 2.4395 6.4508
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.0809 0.9959 4.098 0.000255 ***
## PV_count_IL_c -0.1237 0.1149 -1.077 0.289406
## RearingMS -2.5995 1.1933 -2.178 0.036620 *
## HousingSI 2.4267 1.1933 2.034 0.050099 .
## PV_count_IL_c:RearingMS 0.1809 0.1958 0.924 0.362260
## PV_count_IL_c:HousingSI 0.2147 0.1474 1.456 0.154777
## PV_count_IL_c:RearingMS:HousingSI -0.1632 0.2489 -0.656 0.516585
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.477 on 33 degrees of freedom
## Multiple R-squared: 0.3424, Adjusted R-squared: 0.2229
## F-statistic: 2.864 on 6 and 33 DF, p-value: 0.02336
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.86, p = 0.02
## R² = 0.34
## Adj. R² = 0.22
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 4.08 1.00 4.10 0.00
## PV_count_IL_c -0.12 0.11 -1.08 0.29
## RearingMS -2.60 1.19 -2.18 0.04
## HousingSI 2.43 1.19 2.03 0.05
## PV_count_IL_c:RearingMS 0.18 0.20 0.92 0.36
## PV_count_IL_c:HousingSI 0.21 0.15 1.46 0.15
## PV_count_IL_c:RearingMS:HousingSI -0.16 0.25 -0.66 0.52
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 41.24 41.237 3.4106 0.07376 .
## Rearing 1 60.80 60.800 5.0286 0.03177 *
## Housing 1 71.93 71.926 5.9489 0.02027 *
## PV_count_IL_c:Rearing 1 6.53 6.528 0.5400 0.46764
## PV_count_IL_c:Housing 1 22.09 22.092 1.8272 0.18565
## PV_count_IL_c:Rearing:Housing 1 5.20 5.198 0.4299 0.51659
## Residuals 33 398.99 12.091
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.1390 -2.3260 -0.5298 2.4370 7.6275
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.2296 1.1379 3.717 0.000746 ***
## PV_intensity_IL_c 0.1965 5.5909 0.035 0.972178
## RearingMS -3.3399 1.2505 -2.671 0.011651 *
## HousingSI 2.6692 1.2516 2.133 0.040486 *
## PV_intensity_IL_c:RearingMS 1.3883 6.5863 0.211 0.834355
## PV_intensity_IL_c:HousingSI -2.4838 7.1892 -0.345 0.731917
## PV_intensity_IL_c:RearingMS:HousingSI -1.3998 8.8516 -0.158 0.875307
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.599 on 33 degrees of freedom
## Multiple R-squared: 0.2955, Adjusted R-squared: 0.1674
## F-statistic: 2.307 on 6 and 33 DF, p-value: 0.05713
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.31, p = 0.06
## R² = 0.30
## Adj. R² = 0.17
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 4.23 1.14 3.72 0.00
## PV_intensity_IL_c 0.20 5.59 0.04 0.97
## RearingMS -3.34 1.25 -2.67 0.01
## HousingSI 2.67 1.25 2.13 0.04
## PV_intensity_IL_c:RearingMS 1.39 6.59 0.21 0.83
## PV_intensity_IL_c:HousingSI -2.48 7.19 -0.35 0.73
## PV_intensity_IL_c:RearingMS:HousingSI -1.40 8.85 -0.16 0.88
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 0.32 0.315 0.0243 0.87700
## Rearing 1 92.73 92.733 7.1587 0.01152 *
## Housing 1 76.71 76.708 5.9216 0.02054 *
## PV_intensity_IL_c:Rearing 1 1.50 1.501 0.1159 0.73568
## PV_intensity_IL_c:Housing 1 7.72 7.717 0.5957 0.44571
## PV_intensity_IL_c:Rearing:Housing 1 0.32 0.324 0.0250 0.87531
## Residuals 33 427.48 12.954
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.9025 -1.8797 -0.0576 2.4451 7.0921
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.75647 1.17212 3.205 0.00299 **
## PNN_count_IL_c 0.01379 0.16718 0.082 0.93475
## RearingMS -2.22691 1.31181 -1.698 0.09900 .
## HousingSI 3.12882 1.30308 2.401 0.02214 *
## PNN_count_IL_c:RearingMS 0.13769 0.29096 0.473 0.63917
## PNN_count_IL_c:HousingSI 0.10522 0.20069 0.524 0.60359
## PNN_count_IL_c:RearingMS:HousingSI -0.07627 0.35523 -0.215 0.83132
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.496 on 33 degrees of freedom
## Multiple R-squared: 0.3351, Adjusted R-squared: 0.2142
## F-statistic: 2.772 on 6 and 33 DF, p-value: 0.02705
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.77, p = 0.03
## R² = 0.34
## Adj. R² = 0.21
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 3.76 1.17 3.20 0.00
## PNN_count_IL_c 0.01 0.17 0.08 0.93
## RearingMS -2.23 1.31 -1.70 0.10
## HousingSI 3.13 1.30 2.40 0.02
## PNN_count_IL_c:RearingMS 0.14 0.29 0.47 0.64
## PNN_count_IL_c:HousingSI 0.11 0.20 0.52 0.60
## PNN_count_IL_c:RearingMS:HousingSI -0.08 0.36 -0.21 0.83
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 43.13 43.132 3.5281 0.069195 .
## Rearing 1 56.65 56.650 4.6339 0.038754 *
## Housing 1 95.66 95.657 7.8246 0.008533 **
## PNN_count_IL_c:Rearing 1 4.20 4.196 0.3432 0.561968
## PNN_count_IL_c:Housing 1 3.14 3.144 0.2572 0.615450
## PNN_count_IL_c:Rearing:Housing 1 0.56 0.564 0.0461 0.831321
## Residuals 33 403.43 12.225
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.7355 -2.1888 -0.0155 2.0933 7.2302
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.118 1.005 4.097 0.000256 ***
## PNN_intensity_IL_c -2.812 3.625 -0.776 0.443446
## RearingMS -3.446 1.356 -2.541 0.015920 *
## HousingSI 1.872 1.310 1.429 0.162382
## PNN_intensity_IL_c:RearingMS 4.855 4.195 1.157 0.255492
## PNN_intensity_IL_c:HousingSI 10.521 5.101 2.062 0.047109 *
## PNN_intensity_IL_c:RearingMS:HousingSI -15.977 7.692 -2.077 0.045639 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.341 on 33 degrees of freedom
## Multiple R-squared: 0.393, Adjusted R-squared: 0.2826
## F-statistic: 3.561 on 6 and 33 DF, p-value: 0.007886
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 3.56, p = 0.01
## R² = 0.39
## Adj. R² = 0.28
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------ -------- ------
## (Intercept) 4.12 1.01 4.10 0.00
## PNN_intensity_IL_c -2.81 3.63 -0.78 0.44
## RearingMS -3.45 1.36 -2.54 0.02
## HousingSI 1.87 1.31 1.43 0.16
## PNN_intensity_IL_c:RearingMS 4.85 4.20 1.16 0.26
## PNN_intensity_IL_c:HousingSI 10.52 5.10 2.06 0.05
## PNN_intensity_IL_c:RearingMS:HousingSI -15.98 7.69 -2.08 0.05
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 6.37 6.368 0.5706 0.455391
## Rearing 1 86.97 86.970 7.7920 0.008658 **
## Housing 1 88.56 88.555 7.9340 0.008128 **
## PNN_intensity_IL_c:Rearing 1 1.44 1.443 0.1293 0.721426
## PNN_intensity_IL_c:Housing 1 6.95 6.947 0.6224 0.435771
## PNN_intensity_IL_c:Rearing:Housing 1 48.16 48.161 4.3149 0.045639 *
## Residuals 33 368.33 11.161
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.5193 -2.0685 -0.4965 2.5159 7.5479
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.0880 1.0978 3.724 0.000731
## PNN_pos_PV_count_IL_c -0.1913 0.3274 -0.584 0.562960
## RearingMS -2.5488 1.2254 -2.080 0.045366
## HousingSI 2.5307 1.2251 2.066 0.046790
## PNN_pos_PV_count_IL_c:RearingMS 0.2916 0.4587 0.636 0.529401
## PNN_pos_PV_count_IL_c:HousingSI 0.5102 0.3872 1.317 0.196758
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.3649 0.5757 -0.634 0.530551
##
## (Intercept) ***
## PNN_pos_PV_count_IL_c
## RearingMS *
## HousingSI *
## PNN_pos_PV_count_IL_c:RearingMS
## PNN_pos_PV_count_IL_c:HousingSI
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.451 on 33 degrees of freedom
## Multiple R-squared: 0.3523, Adjusted R-squared: 0.2345
## F-statistic: 2.991 on 6 and 33 DF, p-value: 0.01911
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.99, p = 0.02
## R² = 0.35
## Adj. R² = 0.23
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 4.09 1.10 3.72 0.00
## PNN_pos_PV_count_IL_c -0.19 0.33 -0.58 0.56
## RearingMS -2.55 1.23 -2.08 0.05
## HousingSI 2.53 1.23 2.07 0.05
## PNN_pos_PV_count_IL_c:RearingMS 0.29 0.46 0.64 0.53
## PNN_pos_PV_count_IL_c:HousingSI 0.51 0.39 1.32 0.20
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.36 0.58 -0.63 0.53
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 52.61 52.610 4.4172 0.04329 *
## Rearing 1 52.47 52.468 4.4053 0.04356 *
## Housing 1 84.64 84.639 7.1065 0.01180 *
## PNN_pos_PV_count_IL_c:Rearing 1 0.30 0.304 0.0255 0.87406
## PNN_pos_PV_count_IL_c:Housing 1 18.93 18.934 1.5897 0.21620
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 4.79 4.785 0.4018 0.53055
## Residuals 33 393.03 11.910
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.8714 -2.3851 -0.4303 2.1885 7.7209
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 4.2246 1.0131 4.170
## PNN_pos_PV_intensity_IL_c -1.0382 3.4054 -0.305
## RearingMS -3.5021 1.1843 -2.957
## HousingSI 2.5379 1.1818 2.147
## PNN_pos_PV_intensity_IL_c:RearingMS 2.6264 4.0913 0.642
## PNN_pos_PV_intensity_IL_c:HousingSI -0.1096 4.4189 -0.025
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -6.0480 6.1337 -0.986
## Pr(>|t|)
## (Intercept) 0.000207 ***
## PNN_pos_PV_intensity_IL_c 0.762393
## RearingMS 0.005700 **
## HousingSI 0.039196 *
## PNN_pos_PV_intensity_IL_c:RearingMS 0.525343
## PNN_pos_PV_intensity_IL_c:HousingSI 0.980365
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.331299
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.516 on 33 degrees of freedom
## Multiple R-squared: 0.3277, Adjusted R-squared: 0.2054
## F-statistic: 2.68 on 6 and 33 DF, p-value: 0.03132
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.68, p = 0.03
## R² = 0.33
## Adj. R² = 0.21
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 4.22 1.01 4.17 0.00
## PNN_pos_PV_intensity_IL_c -1.04 3.41 -0.30 0.76
## RearingMS -3.50 1.18 -2.96 0.01
## HousingSI 2.54 1.18 2.15 0.04
## PNN_pos_PV_intensity_IL_c:RearingMS 2.63 4.09 0.64 0.53
## PNN_pos_PV_intensity_IL_c:HousingSI -0.11 4.42 -0.02 0.98
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -6.05 6.13 -0.99 0.33
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 0.00 0.001 0.0001 0.99223
## Rearing 1 94.41 94.411 7.6370 0.00928 **
## Housing 1 76.89 76.890 6.2197 0.01782 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 1.79 1.792 0.1450 0.70581
## PNN_pos_PV_intensity_IL_c:Housing 1 13.70 13.705 1.1086 0.30004
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 12.02 12.019 0.9722 0.33130
## Residuals 33 407.96 12.362
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.4959 -1.9934 0.0352 1.8528 7.0555
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 4.2130 0.9977 4.223
## PV_pos_PNN_intensity_IL_c -1.9372 2.3586 -0.821
## RearingMS -3.6180 1.3090 -2.764
## HousingSI 1.7809 1.2800 1.391
## PV_pos_PNN_intensity_IL_c:RearingMS 3.6769 2.8225 1.303
## PV_pos_PNN_intensity_IL_c:HousingSI 6.9768 3.4532 2.020
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -11.9314 5.3020 -2.250
## Pr(>|t|)
## (Intercept) 0.000178 ***
## PV_pos_PNN_intensity_IL_c 0.417330
## RearingMS 0.009268 **
## HousingSI 0.173424
## PV_pos_PNN_intensity_IL_c:RearingMS 0.201686
## PV_pos_PNN_intensity_IL_c:HousingSI 0.051521 .
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.031212 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.339 on 33 degrees of freedom
## Multiple R-squared: 0.3938, Adjusted R-squared: 0.2836
## F-statistic: 3.573 on 6 and 33 DF, p-value: 0.007741
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 3.57, p = 0.01
## R² = 0.39
## Adj. R² = 0.28
##
## Standard errors: OLS
## -----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- -------- ------ -------- ------
## (Intercept) 4.21 1.00 4.22 0.00
## PV_pos_PNN_intensity_IL_c -1.94 2.36 -0.82 0.42
## RearingMS -3.62 1.31 -2.76 0.01
## HousingSI 1.78 1.28 1.39 0.17
## PV_pos_PNN_intensity_IL_c:RearingMS 3.68 2.82 1.30 0.20
## PV_pos_PNN_intensity_IL_c:HousingSI 6.98 3.45 2.02 0.05
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -11.93 5.30 -2.25 0.03
## -----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 6.51 6.511 0.5841 0.450146
## Rearing 1 86.60 86.604 7.7695 0.008746 **
## Housing 1 85.47 85.466 7.6675 0.009154 **
## PV_pos_PNN_intensity_IL_c:Rearing 1 0.27 0.272 0.0244 0.876721
## PV_pos_PNN_intensity_IL_c:Housing 1 3.64 3.637 0.3263 0.571738
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 56.45 56.448 5.0641 0.031212 *
## Residuals 33 367.84 11.147
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## NULL
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## NULL
Female - Frequency in the open
# Returning summary, summ, and anova stats for every linear model in the femalelm_freq_open list
lapply(femalelm_freq_open, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.1118 -2.1414 -0.2747 2.1177 8.7622
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.17154 1.05857 4.885 2.58e-05 ***
## PV_count_PL_c -0.07749 0.14956 -0.518 0.6078
## RearingMS -2.16425 1.25967 -1.718 0.0951 .
## HousingSI 2.44923 1.26120 1.942 0.0607 .
## PV_count_PL_c:RearingMS 0.24187 0.18412 1.314 0.1980
## PV_count_PL_c:HousingSI 0.21536 0.17368 1.240 0.2237
## PV_count_PL_c:RearingMS:HousingSI -0.34230 0.23407 -1.462 0.1531
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.639 on 33 degrees of freedom
## Multiple R-squared: 0.3231, Adjusted R-squared: 0.2001
## F-statistic: 2.626 on 6 and 33 DF, p-value: 0.03419
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.63, p = 0.03
## R² = 0.32
## Adj. R² = 0.20
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 5.17 1.06 4.89 0.00
## PV_count_PL_c -0.08 0.15 -0.52 0.61
## RearingMS -2.16 1.26 -1.72 0.10
## HousingSI 2.45 1.26 1.94 0.06
## PV_count_PL_c:RearingMS 0.24 0.18 1.31 0.20
## PV_count_PL_c:HousingSI 0.22 0.17 1.24 0.22
## PV_count_PL_c:RearingMS:HousingSI -0.34 0.23 -1.46 0.15
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 59.17 59.172 4.4685 0.04217 *
## Rearing 1 34.52 34.525 2.6072 0.11590
## Housing 1 85.48 85.483 6.4554 0.01595 *
## PV_count_PL_c:Rearing 1 0.68 0.677 0.0511 0.82251
## PV_count_PL_c:Housing 1 0.43 0.432 0.0327 0.85771
## PV_count_PL_c:Rearing:Housing 1 28.32 28.320 2.1387 0.15309
## Residuals 33 436.99 13.242
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.9952 -2.4389 -0.5918 2.8682 8.6173
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.4977 1.0596 5.188 1.06e-05 ***
## PV_intensity_PL_c 0.5710 3.4438 0.166 0.8693
## RearingMS -2.8780 1.2615 -2.281 0.0291 *
## HousingSI 2.9360 1.2559 2.338 0.0256 *
## PV_intensity_PL_c:RearingMS 0.3261 3.9920 0.082 0.9354
## PV_intensity_PL_c:HousingSI -4.0720 4.3700 -0.932 0.3582
## PV_intensity_PL_c:RearingMS:HousingSI 2.5711 5.7438 0.448 0.6573
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.8 on 33 degrees of freedom
## Multiple R-squared: 0.2618, Adjusted R-squared: 0.1275
## F-statistic: 1.95 on 6 and 33 DF, p-value: 0.1017
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.95, p = 0.10
## R² = 0.26
## Adj. R² = 0.13
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 5.50 1.06 5.19 0.00
## PV_intensity_PL_c 0.57 3.44 0.17 0.87
## RearingMS -2.88 1.26 -2.28 0.03
## HousingSI 2.94 1.26 2.34 0.03
## PV_intensity_PL_c:RearingMS 0.33 3.99 0.08 0.94
## PV_intensity_PL_c:HousingSI -4.07 4.37 -0.93 0.36
## PV_intensity_PL_c:RearingMS:HousingSI 2.57 5.74 0.45 0.66
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 0.97 0.969 0.0671 0.79718
## Rearing 1 67.82 67.821 4.6959 0.03755 *
## Housing 1 73.77 73.773 5.1080 0.03054 *
## PV_intensity_PL_c:Rearing 1 11.40 11.401 0.7894 0.38072
## PV_intensity_PL_c:Housing 1 12.13 12.132 0.8400 0.36605
## PV_intensity_PL_c:Rearing:Housing 1 2.89 2.894 0.2004 0.65734
## Residuals 33 476.61 14.443
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.6461 -1.8462 -0.1428 1.9623 8.9437
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.90757 1.08468 4.524 7.44e-05 ***
## PNN_count_PL_c 0.02241 0.16833 0.133 0.8949
## RearingMS -2.04025 1.32480 -1.540 0.1331
## HousingSI 3.33388 1.30580 2.553 0.0155 *
## PNN_count_PL_c:RearingMS 0.28464 0.25051 1.136 0.2640
## PNN_count_PL_c:HousingSI 0.11021 0.21907 0.503 0.6183
## PNN_count_PL_c:RearingMS:HousingSI -0.22209 0.36907 -0.602 0.5515
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.659 on 33 degrees of freedom
## Multiple R-squared: 0.3156, Adjusted R-squared: 0.1911
## F-statistic: 2.536 on 6 and 33 DF, p-value: 0.0395
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.54, p = 0.04
## R² = 0.32
## Adj. R² = 0.19
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 4.91 1.08 4.52 0.00
## PNN_count_PL_c 0.02 0.17 0.13 0.89
## RearingMS -2.04 1.32 -1.54 0.13
## HousingSI 3.33 1.31 2.55 0.02
## PNN_count_PL_c:RearingMS 0.28 0.25 1.14 0.26
## PNN_count_PL_c:HousingSI 0.11 0.22 0.50 0.62
## PNN_count_PL_c:RearingMS:HousingSI -0.22 0.37 -0.60 0.55
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 43.19 43.192 3.2256 0.081656 .
## Rearing 1 41.08 41.079 3.0678 0.089148 .
## Housing 1 100.77 100.769 7.5255 0.009757 **
## PNN_count_PL_c:Rearing 1 13.51 13.506 1.0086 0.322537
## PNN_count_PL_c:Housing 1 0.32 0.325 0.0243 0.877189
## PNN_count_PL_c:Rearing:Housing 1 4.85 4.849 0.3621 0.551453
## Residuals 33 441.88 13.390
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.8523 -2.5046 -0.2855 2.1841 8.9550
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.0657 1.2070 4.197 0.000192 ***
## PNN_intensity_PL_c -0.6532 3.6349 -0.180 0.858486
## RearingMS -1.8220 1.5170 -1.201 0.238292
## HousingSI 2.7551 1.4737 1.869 0.070450 .
## PNN_intensity_PL_c:RearingMS 0.7559 4.2501 0.178 0.859922
## PNN_intensity_PL_c:HousingSI 4.7753 4.4646 1.070 0.292564
## PNN_intensity_PL_c:RearingMS:HousingSI -2.3644 7.3024 -0.324 0.748145
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.745 on 33 degrees of freedom
## Multiple R-squared: 0.2829, Adjusted R-squared: 0.1526
## F-statistic: 2.17 on 6 and 33 DF, p-value: 0.07126
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.17, p = 0.07
## R² = 0.28
## Adj. R² = 0.15
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- ------- ------ -------- ------
## (Intercept) 5.07 1.21 4.20 0.00
## PNN_intensity_PL_c -0.65 3.63 -0.18 0.86
## RearingMS -1.82 1.52 -1.20 0.24
## HousingSI 2.76 1.47 1.87 0.07
## PNN_intensity_PL_c:RearingMS 0.76 4.25 0.18 0.86
## PNN_intensity_PL_c:HousingSI 4.78 4.46 1.07 0.29
## PNN_intensity_PL_c:RearingMS:HousingSI -2.36 7.30 -0.32 0.75
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 10.02 10.019 0.7142 0.40413
## Rearing 1 56.12 56.119 4.0004 0.05378 .
## Housing 1 92.19 92.192 6.5719 0.01510 *
## PNN_intensity_PL_c:Rearing 1 3.30 3.301 0.2353 0.63080
## PNN_intensity_PL_c:Housing 1 19.56 19.564 1.3946 0.24607
## PNN_intensity_PL_c:Rearing:Housing 1 1.47 1.471 0.1048 0.74814
## Residuals 33 462.93 14.028
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.344 -2.165 -0.008 2.053 8.822
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.87416 1.11318 4.379 0.000114
## PNN_pos_PV_count_PL_c 0.06829 0.27751 0.246 0.807143
## RearingMS -2.14295 1.35439 -1.582 0.123137
## HousingSI 3.08289 1.34587 2.291 0.028508
## PNN_pos_PV_count_PL_c:RearingMS 0.21961 0.33804 0.650 0.520404
## PNN_pos_PV_count_PL_c:HousingSI 0.14961 0.34408 0.435 0.666521
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -0.29953 0.48190 -0.622 0.538506
##
## (Intercept) ***
## PNN_pos_PV_count_PL_c
## RearingMS
## HousingSI *
## PNN_pos_PV_count_PL_c:RearingMS
## PNN_pos_PV_count_PL_c:HousingSI
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.703 on 33 degrees of freedom
## Multiple R-squared: 0.2992, Adjusted R-squared: 0.1718
## F-statistic: 2.348 on 6 and 33 DF, p-value: 0.05346
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.35, p = 0.05
## R² = 0.30
## Adj. R² = 0.17
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 4.87 1.11 4.38 0.00
## PNN_pos_PV_count_PL_c 0.07 0.28 0.25 0.81
## RearingMS -2.14 1.35 -1.58 0.12
## HousingSI 3.08 1.35 2.29 0.03
## PNN_pos_PV_count_PL_c:RearingMS 0.22 0.34 0.65 0.52
## PNN_pos_PV_count_PL_c:HousingSI 0.15 0.34 0.43 0.67
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -0.30 0.48 -0.62 0.54
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 46.28 46.277 3.3753 0.07520 .
## Rearing 1 39.11 39.110 2.8525 0.10066
## Housing 1 101.20 101.204 7.3815 0.01041 *
## PNN_pos_PV_count_PL_c:Rearing 1 1.22 1.221 0.0891 0.76725
## PNN_pos_PV_count_PL_c:Housing 1 0.04 0.042 0.0031 0.95611
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 5.30 5.297 0.3863 0.53851
## Residuals 33 452.45 13.711
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.8710 -2.6257 -0.2756 2.8681 8.0308
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 5.2822 1.0826 4.879
## PNN_pos_PV_intensity_PL_c -1.5944 2.9766 -0.536
## RearingMS -2.6210 1.2823 -2.044
## HousingSI 3.1067 1.2744 2.438
## PNN_pos_PV_intensity_PL_c:RearingMS 2.3697 3.5201 0.673
## PNN_pos_PV_intensity_PL_c:HousingSI -0.7207 3.5244 -0.204
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.3762 4.6604 0.081
## Pr(>|t|)
## (Intercept) 2.63e-05 ***
## PNN_pos_PV_intensity_PL_c 0.5958
## RearingMS 0.0490 *
## HousingSI 0.0203 *
## PNN_pos_PV_intensity_PL_c:RearingMS 0.5055
## PNN_pos_PV_intensity_PL_c:HousingSI 0.8392
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.9362
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.797 on 33 degrees of freedom
## Multiple R-squared: 0.263, Adjusted R-squared: 0.129
## F-statistic: 1.962 on 6 and 33 DF, p-value: 0.09974
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.96, p = 0.10
## R² = 0.26
## Adj. R² = 0.13
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 5.28 1.08 4.88 0.00
## PNN_pos_PV_intensity_PL_c -1.59 2.98 -0.54 0.60
## RearingMS -2.62 1.28 -2.04 0.05
## HousingSI 3.11 1.27 2.44 0.02
## PNN_pos_PV_intensity_PL_c:RearingMS 2.37 3.52 0.67 0.51
## PNN_pos_PV_intensity_PL_c:HousingSI -0.72 3.52 -0.20 0.84
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.38 4.66 0.08 0.94
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 3.27 3.270 0.2268 0.63707
## Rearing 1 69.37 69.366 4.8107 0.03544 *
## Housing 1 73.03 73.035 5.0651 0.03120 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 23.32 23.323 1.6175 0.21233
## PNN_pos_PV_intensity_PL_c:Housing 1 0.68 0.684 0.0474 0.82894
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 0.09 0.094 0.0065 0.93615
## Residuals 33 475.83 14.419
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.0130 -2.7612 -0.1625 2.1697 8.9637
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 5.0533 1.2087 4.181
## PV_pos_PNN_intensity_PL_c -0.1529 3.0870 -0.050
## RearingMS -1.9582 1.4755 -1.327
## HousingSI 2.8712 1.4373 1.998
## PV_pos_PNN_intensity_PL_c:RearingMS 0.5402 3.6687 0.147
## PV_pos_PNN_intensity_PL_c:HousingSI 3.6970 3.8243 0.967
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -2.0707 6.1027 -0.339
## Pr(>|t|)
## (Intercept) 0.000201 ***
## PV_pos_PNN_intensity_PL_c 0.960804
## RearingMS 0.193575
## HousingSI 0.054063 .
## PV_pos_PNN_intensity_PL_c:RearingMS 0.883835
## PV_pos_PNN_intensity_PL_c:HousingSI 0.340719
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.736530
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.753 on 33 degrees of freedom
## Multiple R-squared: 0.28, Adjusted R-squared: 0.1491
## F-statistic: 2.139 on 6 and 33 DF, p-value: 0.07495
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.14, p = 0.07
## R² = 0.28
## Adj. R² = 0.15
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 5.05 1.21 4.18 0.00
## PV_pos_PNN_intensity_PL_c -0.15 3.09 -0.05 0.96
## RearingMS -1.96 1.48 -1.33 0.19
## HousingSI 2.87 1.44 2.00 0.05
## PV_pos_PNN_intensity_PL_c:RearingMS 0.54 3.67 0.15 0.88
## PV_pos_PNN_intensity_PL_c:HousingSI 3.70 3.82 0.97 0.34
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -2.07 6.10 -0.34 0.74
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 10.75 10.752 0.7633 0.38860
## Rearing 1 55.88 55.877 3.9670 0.05473 .
## Housing 1 95.09 95.086 6.7506 0.01390 *
## PV_pos_PNN_intensity_PL_c:Rearing 1 2.77 2.769 0.1966 0.66039
## PV_pos_PNN_intensity_PL_c:Housing 1 14.67 14.668 1.0414 0.31492
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 1.62 1.622 0.1151 0.73653
## Residuals 33 464.83 14.086
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.7635 -2.1502 -0.2573 2.4285 7.8057
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.5829 1.0597 5.269 8.35e-06 ***
## PV_count_IL_c -0.1615 0.1222 -1.321 0.1956
## RearingMS -2.1465 1.2698 -1.690 0.1004
## HousingSI 2.4165 1.2698 1.903 0.0658 .
## PV_count_IL_c:RearingMS 0.3381 0.2083 1.623 0.1142
## PV_count_IL_c:HousingSI 0.2020 0.1568 1.288 0.2068
## PV_count_IL_c:RearingMS:HousingSI -0.2622 0.2649 -0.990 0.3295
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.7 on 33 degrees of freedom
## Multiple R-squared: 0.3002, Adjusted R-squared: 0.173
## F-statistic: 2.36 on 6 and 33 DF, p-value: 0.05244
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.36, p = 0.05
## R² = 0.30
## Adj. R² = 0.17
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 5.58 1.06 5.27 0.00
## PV_count_IL_c -0.16 0.12 -1.32 0.20
## RearingMS -2.15 1.27 -1.69 0.10
## HousingSI 2.42 1.27 1.90 0.07
## PV_count_IL_c:RearingMS 0.34 0.21 1.62 0.11
## PV_count_IL_c:HousingSI 0.20 0.16 1.29 0.21
## PV_count_IL_c:RearingMS:HousingSI -0.26 0.26 -0.99 0.33
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 27.37 27.373 1.9996 0.16671
## Rearing 1 43.06 43.055 3.1451 0.08539 .
## Housing 1 72.65 72.648 5.3068 0.02768 *
## PV_count_IL_c:Rearing 1 27.46 27.462 2.0060 0.16605
## PV_count_IL_c:Housing 1 9.89 9.887 0.7222 0.40154
## PV_count_IL_c:Rearing:Housing 1 13.41 13.412 0.9797 0.32948
## Residuals 33 451.76 13.690
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.9072 -2.5486 -0.4516 2.9518 8.3029
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.4902 1.1929 4.602 5.93e-05 ***
## PV_intensity_IL_c -0.6425 5.8611 -0.110 0.9134
## RearingMS -2.8854 1.3109 -2.201 0.0348 *
## HousingSI 2.7563 1.3121 2.101 0.0434 *
## PV_intensity_IL_c:RearingMS 4.6714 6.9046 0.677 0.5034
## PV_intensity_IL_c:HousingSI -3.3894 7.5366 -0.450 0.6558
## PV_intensity_IL_c:RearingMS:HousingSI -3.3584 9.2793 -0.362 0.7197
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.773 on 33 degrees of freedom
## Multiple R-squared: 0.2723, Adjusted R-squared: 0.14
## F-statistic: 2.058 on 6 and 33 DF, p-value: 0.0854
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.06, p = 0.09
## R² = 0.27
## Adj. R² = 0.14
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 5.49 1.19 4.60 0.00
## PV_intensity_IL_c -0.64 5.86 -0.11 0.91
## RearingMS -2.89 1.31 -2.20 0.03
## HousingSI 2.76 1.31 2.10 0.04
## PV_intensity_IL_c:RearingMS 4.67 6.90 0.68 0.50
## PV_intensity_IL_c:HousingSI -3.39 7.54 -0.45 0.66
## PV_intensity_IL_c:RearingMS:HousingSI -3.36 9.28 -0.36 0.72
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 0.45 0.449 0.0315 0.86012
## Rearing 1 64.27 64.274 4.5149 0.04118 *
## Housing 1 76.18 76.175 5.3509 0.02709 *
## PV_intensity_IL_c:Rearing 1 12.30 12.298 0.8639 0.35941
## PV_intensity_IL_c:Housing 1 20.75 20.754 1.4579 0.23585
## PV_intensity_IL_c:Rearing:Housing 1 1.86 1.865 0.1310 0.71972
## Residuals 33 469.78 14.236
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.1299 -2.2306 -0.6852 2.6132 8.4026
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.94617 1.27264 3.887 0.000464 ***
## PNN_count_IL_c 0.05932 0.18152 0.327 0.745895
## RearingMS -1.67233 1.42431 -1.174 0.248745
## HousingSI 3.17129 1.41483 2.241 0.031840 *
## PNN_count_IL_c:RearingMS 0.14726 0.31591 0.466 0.644166
## PNN_count_IL_c:HousingSI 0.02648 0.21791 0.122 0.903998
## PNN_count_IL_c:RearingMS:HousingSI -0.07090 0.38570 -0.184 0.855272
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.796 on 33 degrees of freedom
## Multiple R-squared: 0.2633, Adjusted R-squared: 0.1294
## F-statistic: 1.966 on 6 and 33 DF, p-value: 0.09915
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.97, p = 0.10
## R² = 0.26
## Adj. R² = 0.13
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 4.95 1.27 3.89 0.00
## PNN_count_IL_c 0.06 0.18 0.33 0.75
## RearingMS -1.67 1.42 -1.17 0.25
## HousingSI 3.17 1.41 2.24 0.03
## PNN_count_IL_c:RearingMS 0.15 0.32 0.47 0.64
## PNN_count_IL_c:HousingSI 0.03 0.22 0.12 0.90
## PNN_count_IL_c:RearingMS:HousingSI -0.07 0.39 -0.18 0.86
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 32.31 32.310 2.2419 0.14382
## Rearing 1 38.27 38.270 2.6555 0.11270
## Housing 1 94.26 94.257 6.5402 0.01533 *
## PNN_count_IL_c:Rearing 1 4.68 4.682 0.3249 0.57256
## PNN_count_IL_c:Housing 1 0.00 0.000 0.0000 0.99841
## PNN_count_IL_c:Rearing:Housing 1 0.49 0.487 0.0338 0.85527
## Residuals 33 475.59 14.412
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.8056 -2.1048 -0.2831 1.9546 8.6806
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.3999 1.1203 4.820 3.13e-05 ***
## PNN_intensity_IL_c -0.6507 4.0405 -0.161 0.8730
## RearingMS -3.0348 1.5112 -2.008 0.0529 .
## HousingSI 1.9056 1.4599 1.305 0.2008
## PNN_intensity_IL_c:RearingMS 2.4670 4.6757 0.528 0.6013
## PNN_intensity_IL_c:HousingSI 7.1117 5.6858 1.251 0.2198
## PNN_intensity_IL_c:RearingMS:HousingSI -12.9716 8.5729 -1.513 0.1398
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.724 on 33 degrees of freedom
## Multiple R-squared: 0.2913, Adjusted R-squared: 0.1624
## F-statistic: 2.26 on 6 and 33 DF, p-value: 0.06161
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.26, p = 0.06
## R² = 0.29
## Adj. R² = 0.16
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------ -------- ------
## (Intercept) 5.40 1.12 4.82 0.00
## PNN_intensity_IL_c -0.65 4.04 -0.16 0.87
## RearingMS -3.03 1.51 -2.01 0.05
## HousingSI 1.91 1.46 1.31 0.20
## PNN_intensity_IL_c:RearingMS 2.47 4.68 0.53 0.60
## PNN_intensity_IL_c:HousingSI 7.11 5.69 1.25 0.22
## PNN_intensity_IL_c:RearingMS:HousingSI -12.97 8.57 -1.51 0.14
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 3.60 3.601 0.2597 0.61371
## Rearing 1 61.24 61.236 4.4164 0.04331 *
## Housing 1 86.26 86.262 6.2213 0.01781 *
## PNN_intensity_IL_c:Rearing 1 4.62 4.615 0.3328 0.56791
## PNN_intensity_IL_c:Housing 1 0.57 0.574 0.0414 0.84008
## PNN_intensity_IL_c:Rearing:Housing 1 31.75 31.745 2.2895 0.13977
## Residuals 33 457.57 13.866
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.6299 -2.5225 -0.3611 2.4645 9.1156
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.3733 1.2058 4.456 9.07e-05
## PNN_pos_PV_count_IL_c -0.1471 0.3596 -0.409 0.6852
## RearingMS -2.0724 1.3460 -1.540 0.1332
## HousingSI 2.6068 1.3457 1.937 0.0613
## PNN_pos_PV_count_IL_c:RearingMS 0.3176 0.5039 0.630 0.5328
## PNN_pos_PV_count_IL_c:HousingSI 0.3771 0.4254 0.887 0.3817
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.3158 0.6324 -0.499 0.6209
##
## (Intercept) ***
## PNN_pos_PV_count_IL_c
## RearingMS
## HousingSI .
## PNN_pos_PV_count_IL_c:RearingMS
## PNN_pos_PV_count_IL_c:HousingSI
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.791 on 33 degrees of freedom
## Multiple R-squared: 0.2654, Adjusted R-squared: 0.1319
## F-statistic: 1.988 on 6 and 33 DF, p-value: 0.09577
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.99, p = 0.10
## R² = 0.27
## Adj. R² = 0.13
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 5.37 1.21 4.46 0.00
## PNN_pos_PV_count_IL_c -0.15 0.36 -0.41 0.69
## RearingMS -2.07 1.35 -1.54 0.13
## HousingSI 2.61 1.35 1.94 0.06
## PNN_pos_PV_count_IL_c:RearingMS 0.32 0.50 0.63 0.53
## PNN_pos_PV_count_IL_c:HousingSI 0.38 0.43 0.89 0.38
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.32 0.63 -0.50 0.62
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 38.20 38.204 2.6585 0.11251
## Rearing 1 35.86 35.861 2.4955 0.12371
## Housing 1 83.43 83.434 5.8059 0.02171 *
## PNN_pos_PV_count_IL_c:Rearing 1 1.80 1.798 0.1251 0.72581
## PNN_pos_PV_count_IL_c:Housing 1 8.49 8.491 0.5909 0.44755
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 3.58 3.583 0.2493 0.62088
## Residuals 33 474.23 14.371
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.925 -2.299 -0.322 2.063 7.664
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 5.519 1.032 5.346
## PNN_pos_PV_intensity_IL_c -1.817 3.470 -0.524
## RearingMS -3.137 1.207 -2.599
## HousingSI 2.686 1.204 2.230
## PNN_pos_PV_intensity_IL_c:RearingMS 5.801 4.169 1.391
## PNN_pos_PV_intensity_IL_c:HousingSI -1.120 4.503 -0.249
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -7.811 6.250 -1.250
## Pr(>|t|)
## (Intercept) 6.64e-06 ***
## PNN_pos_PV_intensity_IL_c 0.6041
## RearingMS 0.0139 *
## HousingSI 0.0326 *
## PNN_pos_PV_intensity_IL_c:RearingMS 0.1734
## PNN_pos_PV_intensity_IL_c:HousingSI 0.8051
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.2202
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.583 on 33 degrees of freedom
## Multiple R-squared: 0.3438, Adjusted R-squared: 0.2245
## F-statistic: 2.882 on 6 and 33 DF, p-value: 0.02271
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.88, p = 0.02
## R² = 0.34
## Adj. R² = 0.22
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 5.52 1.03 5.35 0.00
## PNN_pos_PV_intensity_IL_c -1.82 3.47 -0.52 0.60
## RearingMS -3.14 1.21 -2.60 0.01
## HousingSI 2.69 1.20 2.23 0.03
## PNN_pos_PV_intensity_IL_c:RearingMS 5.80 4.17 1.39 0.17
## PNN_pos_PV_intensity_IL_c:HousingSI -1.12 4.50 -0.25 0.81
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -7.81 6.25 -1.25 0.22
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 0.10 0.104 0.0081 0.92879
## Rearing 1 65.07 65.071 5.0690 0.03114 *
## Housing 1 76.27 76.266 5.9411 0.02035 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 25.68 25.681 2.0005 0.16661
## PNN_pos_PV_intensity_IL_c:Housing 1 34.81 34.808 2.7115 0.10912
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 20.05 20.046 1.5616 0.22023
## Residuals 33 423.62 12.837
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.973 -1.697 -0.184 1.933 8.619
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 5.4659 1.1082 4.932
## PV_pos_PNN_intensity_IL_c -0.6148 2.6198 -0.235
## RearingMS -3.2369 1.4540 -2.226
## HousingSI 1.9020 1.4218 1.338
## PV_pos_PNN_intensity_IL_c:RearingMS 2.4752 3.1351 0.790
## PV_pos_PNN_intensity_IL_c:HousingSI 4.6083 3.8357 1.201
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -10.0280 5.8893 -1.703
## Pr(>|t|)
## (Intercept) 2.25e-05 ***
## PV_pos_PNN_intensity_IL_c 0.8159
## RearingMS 0.0329 *
## HousingSI 0.1901
## PV_pos_PNN_intensity_IL_c:RearingMS 0.4355
## PV_pos_PNN_intensity_IL_c:HousingSI 0.2381
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.0980 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.709 on 33 degrees of freedom
## Multiple R-squared: 0.297, Adjusted R-squared: 0.1692
## F-statistic: 2.324 on 6 and 33 DF, p-value: 0.05559
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.32, p = 0.06
## R² = 0.30
## Adj. R² = 0.17
##
## Standard errors: OLS
## -----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- -------- ------ -------- ------
## (Intercept) 5.47 1.11 4.93 0.00
## PV_pos_PNN_intensity_IL_c -0.61 2.62 -0.23 0.82
## RearingMS -3.24 1.45 -2.23 0.03
## HousingSI 1.90 1.42 1.34 0.19
## PV_pos_PNN_intensity_IL_c:RearingMS 2.48 3.14 0.79 0.44
## PV_pos_PNN_intensity_IL_c:HousingSI 4.61 3.84 1.20 0.24
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -10.03 5.89 -1.70 0.10
## -----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 5.35 5.351 0.3891 0.53707
## Rearing 1 59.76 59.756 4.3449 0.04494 *
## Housing 1 85.75 85.754 6.2352 0.01769 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 0.99 0.992 0.0721 0.78995
## PV_pos_PNN_intensity_IL_c:Housing 1 0.02 0.023 0.0017 0.96750
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 39.87 39.875 2.8993 0.09802 .
## Residuals 33 453.85 13.753
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [[1]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 59.17 59.172 4.4685 0.04217 *
## Rearing 1 34.52 34.525 2.6072 0.11590
## Housing 1 85.48 85.483 6.4554 0.01595 *
## PV_count_PL_c:Rearing 1 0.68 0.677 0.0511 0.82251
## PV_count_PL_c:Housing 1 0.43 0.432 0.0327 0.85771
## PV_count_PL_c:Rearing:Housing 1 28.32 28.320 2.1387 0.15309
## Residuals 33 436.99 13.242
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[2]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 0.97 0.969 0.0671 0.79718
## Rearing 1 67.82 67.821 4.6959 0.03755 *
## Housing 1 73.77 73.773 5.1080 0.03054 *
## PV_intensity_PL_c:Rearing 1 11.40 11.401 0.7894 0.38072
## PV_intensity_PL_c:Housing 1 12.13 12.132 0.8400 0.36605
## PV_intensity_PL_c:Rearing:Housing 1 2.89 2.894 0.2004 0.65734
## Residuals 33 476.61 14.443
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[3]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 43.19 43.192 3.2256 0.081656 .
## Rearing 1 41.08 41.079 3.0678 0.089148 .
## Housing 1 100.77 100.769 7.5255 0.009757 **
## PNN_count_PL_c:Rearing 1 13.51 13.506 1.0086 0.322537
## PNN_count_PL_c:Housing 1 0.32 0.325 0.0243 0.877189
## PNN_count_PL_c:Rearing:Housing 1 4.85 4.849 0.3621 0.551453
## Residuals 33 441.88 13.390
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 10.02 10.019 0.7142 0.40413
## Rearing 1 56.12 56.119 4.0004 0.05378 .
## Housing 1 92.19 92.192 6.5719 0.01510 *
## PNN_intensity_PL_c:Rearing 1 3.30 3.301 0.2353 0.63080
## PNN_intensity_PL_c:Housing 1 19.56 19.564 1.3946 0.24607
## PNN_intensity_PL_c:Rearing:Housing 1 1.47 1.471 0.1048 0.74814
## Residuals 33 462.93 14.028
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[5]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 46.28 46.277 3.3753 0.07520 .
## Rearing 1 39.11 39.110 2.8525 0.10066
## Housing 1 101.20 101.204 7.3815 0.01041 *
## PNN_pos_PV_count_PL_c:Rearing 1 1.22 1.221 0.0891 0.76725
## PNN_pos_PV_count_PL_c:Housing 1 0.04 0.042 0.0031 0.95611
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 5.30 5.297 0.3863 0.53851
## Residuals 33 452.45 13.711
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 3.27 3.270 0.2268 0.63707
## Rearing 1 69.37 69.366 4.8107 0.03544 *
## Housing 1 73.03 73.035 5.0651 0.03120 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 23.32 23.323 1.6175 0.21233
## PNN_pos_PV_intensity_PL_c:Housing 1 0.68 0.684 0.0474 0.82894
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 0.09 0.094 0.0065 0.93615
## Residuals 33 475.83 14.419
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[7]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 10.75 10.752 0.7633 0.38860
## Rearing 1 55.88 55.877 3.9670 0.05473 .
## Housing 1 95.09 95.086 6.7506 0.01390 *
## PV_pos_PNN_intensity_PL_c:Rearing 1 2.77 2.769 0.1966 0.66039
## PV_pos_PNN_intensity_PL_c:Housing 1 14.67 14.668 1.0414 0.31492
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 1.62 1.622 0.1151 0.73653
## Residuals 33 464.83 14.086
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[8]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 27.37 27.373 1.9996 0.16671
## Rearing 1 43.06 43.055 3.1451 0.08539 .
## Housing 1 72.65 72.648 5.3068 0.02768 *
## PV_count_IL_c:Rearing 1 27.46 27.462 2.0060 0.16605
## PV_count_IL_c:Housing 1 9.89 9.887 0.7222 0.40154
## PV_count_IL_c:Rearing:Housing 1 13.41 13.412 0.9797 0.32948
## Residuals 33 451.76 13.690
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[9]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 0.45 0.449 0.0315 0.86012
## Rearing 1 64.27 64.274 4.5149 0.04118 *
## Housing 1 76.18 76.175 5.3509 0.02709 *
## PV_intensity_IL_c:Rearing 1 12.30 12.298 0.8639 0.35941
## PV_intensity_IL_c:Housing 1 20.75 20.754 1.4579 0.23585
## PV_intensity_IL_c:Rearing:Housing 1 1.86 1.865 0.1310 0.71972
## Residuals 33 469.78 14.236
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 32.31 32.310 2.2419 0.14382
## Rearing 1 38.27 38.270 2.6555 0.11270
## Housing 1 94.26 94.257 6.5402 0.01533 *
## PNN_count_IL_c:Rearing 1 4.68 4.682 0.3249 0.57256
## PNN_count_IL_c:Housing 1 0.00 0.000 0.0000 0.99841
## PNN_count_IL_c:Rearing:Housing 1 0.49 0.487 0.0338 0.85527
## Residuals 33 475.59 14.412
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[11]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 3.60 3.601 0.2597 0.61371
## Rearing 1 61.24 61.236 4.4164 0.04331 *
## Housing 1 86.26 86.262 6.2213 0.01781 *
## PNN_intensity_IL_c:Rearing 1 4.62 4.615 0.3328 0.56791
## PNN_intensity_IL_c:Housing 1 0.57 0.574 0.0414 0.84008
## PNN_intensity_IL_c:Rearing:Housing 1 31.75 31.745 2.2895 0.13977
## Residuals 33 457.57 13.866
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[12]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 38.20 38.204 2.6585 0.11251
## Rearing 1 35.86 35.861 2.4955 0.12371
## Housing 1 83.43 83.434 5.8059 0.02171 *
## PNN_pos_PV_count_IL_c:Rearing 1 1.80 1.798 0.1251 0.72581
## PNN_pos_PV_count_IL_c:Housing 1 8.49 8.491 0.5909 0.44755
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 3.58 3.583 0.2493 0.62088
## Residuals 33 474.23 14.371
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[13]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 0.10 0.104 0.0081 0.92879
## Rearing 1 65.07 65.071 5.0690 0.03114 *
## Housing 1 76.27 76.266 5.9411 0.02035 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 25.68 25.681 2.0005 0.16661
## PNN_pos_PV_intensity_IL_c:Housing 1 34.81 34.808 2.7115 0.10912
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 20.05 20.046 1.5616 0.22023
## Residuals 33 423.62 12.837
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[14]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 5.35 5.351 0.3891 0.53707
## Rearing 1 59.76 59.756 4.3449 0.04494 *
## Housing 1 85.75 85.754 6.2352 0.01769 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 0.99 0.992 0.0721 0.78995
## PV_pos_PNN_intensity_IL_c:Housing 1 0.02 0.023 0.0017 0.96750
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 39.87 39.875 2.8993 0.09802 .
## Residuals 33 453.85 13.753
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Female - Head poke duration
# Returning summary, summ, and anova stats for every linear model in the femalelm_head_poke_duration list
lapply(femalelm_head_poke_duration, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -43.742 -19.356 -1.821 16.929 68.845
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 69.76312 8.46496 8.241 1.62e-09 ***
## PV_count_PL_c 0.99603 1.19599 0.833 0.4109
## RearingMS 19.56951 10.07308 1.943 0.0606 .
## HousingSI -22.84480 10.08532 -2.265 0.0302 *
## PV_count_PL_c:RearingMS -1.29207 1.47230 -0.878 0.3865
## PV_count_PL_c:HousingSI -0.71726 1.38881 -0.516 0.6090
## PV_count_PL_c:RearingMS:HousingSI -0.01752 1.87174 -0.009 0.9926
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.1 on 33 degrees of freedom
## Multiple R-squared: 0.2727, Adjusted R-squared: 0.1405
## F-statistic: 2.063 on 6 and 33 DF, p-value: 0.08482
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.06, p = 0.08
## R² = 0.27
## Adj. R² = 0.14
##
## Standard errors: OLS
## ------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- -------- ------- -------- ------
## (Intercept) 69.76 8.46 8.24 0.00
## PV_count_PL_c 1.00 1.20 0.83 0.41
## RearingMS 19.57 10.07 1.94 0.06
## HousingSI -22.84 10.09 -2.27 0.03
## PV_count_PL_c:RearingMS -1.29 1.47 -0.88 0.39
## PV_count_PL_c:HousingSI -0.72 1.39 -0.52 0.61
## PV_count_PL_c:RearingMS:HousingSI -0.02 1.87 -0.01 0.99
## ------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 752.3 752.3 0.8884 0.35275
## Rearing 1 3760.1 3760.1 4.4405 0.04278 *
## Housing 1 3898.6 3898.6 4.6041 0.03935 *
## PV_count_PL_c:Rearing 1 1500.0 1500.0 1.7715 0.19232
## PV_count_PL_c:Housing 1 568.1 568.1 0.6709 0.41861
## PV_count_PL_c:Rearing:Housing 1 0.1 0.1 0.0001 0.99259
## Residuals 33 27943.5 846.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -48.121 -18.188 -0.646 17.866 66.696
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 69.406 7.836 8.857 3.09e-10 ***
## PV_intensity_PL_c -5.216 25.468 -0.205 0.8390
## RearingMS 21.787 9.329 2.335 0.0258 *
## HousingSI -23.423 9.288 -2.522 0.0167 *
## PV_intensity_PL_c:RearingMS 12.371 29.522 0.419 0.6779
## PV_intensity_PL_c:HousingSI 46.841 32.317 1.449 0.1567
## PV_intensity_PL_c:RearingMS:HousingSI -71.062 42.477 -1.673 0.1038
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.1 on 33 degrees of freedom
## Multiple R-squared: 0.3216, Adjusted R-squared: 0.1982
## F-statistic: 2.607 on 6 and 33 DF, p-value: 0.03521
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.61, p = 0.04
## R² = 0.32
## Adj. R² = 0.20
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------- -------- ------
## (Intercept) 69.41 7.84 8.86 0.00
## PV_intensity_PL_c -5.22 25.47 -0.20 0.84
## RearingMS 21.79 9.33 2.34 0.03
## HousingSI -23.42 9.29 -2.52 0.02
## PV_intensity_PL_c:RearingMS 12.37 29.52 0.42 0.68
## PV_intensity_PL_c:HousingSI 46.84 32.32 1.45 0.16
## PV_intensity_PL_c:RearingMS:HousingSI -71.06 42.48 -1.67 0.10
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 476.9 476.9 0.6038 0.44267
## Rearing 1 4935.3 4935.3 6.2481 0.01758 *
## Housing 1 3580.7 3580.7 4.5332 0.04080 *
## PV_intensity_PL_c:Rearing 1 1099.3 1099.3 1.3917 0.24655
## PV_intensity_PL_c:Housing 1 53.6 53.6 0.0678 0.79613
## PV_intensity_PL_c:Rearing:Housing 1 2210.7 2210.7 2.7988 0.10379
## Residuals 33 26066.3 789.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -40.701 -17.314 -4.796 17.825 68.721
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 74.2560 8.4658 8.771 3.88e-10 ***
## PNN_count_PL_c -0.6888 1.3138 -0.524 0.60358
## RearingMS 15.7616 10.3398 1.524 0.13694
## HousingSI -28.1055 10.1915 -2.758 0.00941 **
## PNN_count_PL_c:RearingMS -0.6790 1.9551 -0.347 0.73059
## PNN_count_PL_c:HousingSI 1.6887 1.7098 0.988 0.33051
## PNN_count_PL_c:RearingMS:HousingSI -2.6668 2.8805 -0.926 0.36127
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.56 on 33 degrees of freedom
## Multiple R-squared: 0.2994, Adjusted R-squared: 0.1721
## F-statistic: 2.351 on 6 and 33 DF, p-value: 0.0532
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.35, p = 0.05
## R² = 0.30
## Adj. R² = 0.17
##
## Standard errors: OLS
## -------------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- -------- ------- -------- ------
## (Intercept) 74.26 8.47 8.77 0.00
## PNN_count_PL_c -0.69 1.31 -0.52 0.60
## RearingMS 15.76 10.34 1.52 0.14
## HousingSI -28.11 10.19 -2.76 0.01
## PNN_count_PL_c:RearingMS -0.68 1.96 -0.35 0.73
## PNN_count_PL_c:HousingSI 1.69 1.71 0.99 0.33
## PNN_count_PL_c:RearingMS:HousingSI -2.67 2.88 -0.93 0.36
## -------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 662.8 662.8 0.8126 0.37390
## Rearing 1 3854.8 3854.8 4.7259 0.03699 *
## Housing 1 4227.0 4227.0 5.1823 0.02943 *
## PNN_count_PL_c:Rearing 1 1844.2 1844.2 2.2610 0.14218
## PNN_count_PL_c:Housing 1 217.7 217.7 0.2669 0.60887
## PNN_count_PL_c:Rearing:Housing 1 699.1 699.1 0.8571 0.36127
## Residuals 33 26917.2 815.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.575 -21.331 -0.849 17.467 75.033
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 72.698 9.605 7.568 1.05e-08 ***
## PNN_intensity_PL_c -12.217 28.929 -0.422 0.6755
## RearingMS 14.569 12.073 1.207 0.2361
## HousingSI -22.412 11.729 -1.911 0.0647 .
## PNN_intensity_PL_c:RearingMS 25.127 33.824 0.743 0.4628
## PNN_intensity_PL_c:HousingSI 9.973 35.531 0.281 0.7807
## PNN_intensity_PL_c:RearingMS:HousingSI -45.430 58.116 -0.782 0.4400
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.81 on 33 degrees of freedom
## Multiple R-squared: 0.2369, Adjusted R-squared: 0.09814
## F-statistic: 1.707 on 6 and 33 DF, p-value: 0.1503
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.71, p = 0.15
## R² = 0.24
## Adj. R² = 0.10
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------- -------- ------
## (Intercept) 72.70 9.61 7.57 0.00
## PNN_intensity_PL_c -12.22 28.93 -0.42 0.68
## RearingMS 14.57 12.07 1.21 0.24
## HousingSI -22.41 11.73 -1.91 0.06
## PNN_intensity_PL_c:RearingMS 25.13 33.82 0.74 0.46
## PNN_intensity_PL_c:HousingSI 9.97 35.53 0.28 0.78
## PNN_intensity_PL_c:RearingMS:HousingSI -45.43 58.12 -0.78 0.44
## -----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 7.2 7.2 0.0081 0.92869
## Rearing 1 4862.9 4862.9 5.4730 0.02551 *
## Housing 1 3395.5 3395.5 3.8215 0.05911 .
## PNN_intensity_PL_c:Rearing 1 168.9 168.9 0.1901 0.66565
## PNN_intensity_PL_c:Housing 1 124.3 124.3 0.1399 0.71080
## PNN_intensity_PL_c:Rearing:Housing 1 543.0 543.0 0.6111 0.43996
## Residuals 33 29321.1 888.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.715 -20.143 -1.283 15.510 73.264
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.948 8.743 8.458 9e-10
## PNN_pos_PV_count_PL_c -1.172 2.180 -0.538 0.5944
## RearingMS 15.327 10.638 1.441 0.1591
## HousingSI -27.777 10.571 -2.628 0.0129
## PNN_pos_PV_count_PL_c:RearingMS 0.973 2.655 0.366 0.7164
## PNN_pos_PV_count_PL_c:HousingSI 2.210 2.703 0.818 0.4194
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -4.702 3.785 -1.242 0.2229
##
## (Intercept) ***
## PNN_pos_PV_count_PL_c
## RearingMS
## HousingSI *
## PNN_pos_PV_count_PL_c:RearingMS
## PNN_pos_PV_count_PL_c:HousingSI
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.08 on 33 degrees of freedom
## Multiple R-squared: 0.2735, Adjusted R-squared: 0.1415
## F-statistic: 2.071 on 6 and 33 DF, p-value: 0.08367
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.07, p = 0.08
## R² = 0.27
## Adj. R² = 0.14
##
## Standard errors: OLS
## --------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- -------- ------- -------- ------
## (Intercept) 73.95 8.74 8.46 0.00
## PNN_pos_PV_count_PL_c -1.17 2.18 -0.54 0.59
## RearingMS 15.33 10.64 1.44 0.16
## HousingSI -27.78 10.57 -2.63 0.01
## PNN_pos_PV_count_PL_c:RearingMS 0.97 2.66 0.37 0.72
## PNN_pos_PV_count_PL_c:HousingSI 2.21 2.70 0.82 0.42
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -4.70 3.79 -1.24 0.22
## --------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 629.9 629.9 0.7447 0.39438
## Rearing 1 3866.9 3866.9 4.5717 0.04000 *
## Housing 1 4165.6 4165.6 4.9248 0.03346 *
## PNN_pos_PV_count_PL_c:Rearing 1 512.1 512.1 0.6054 0.44207
## PNN_pos_PV_count_PL_c:Housing 1 30.4 30.4 0.0360 0.85069
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 1305.4 1305.4 1.5433 0.22288
## Residuals 33 27912.5 845.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.081 -20.677 -1.364 14.200 67.059
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 71.610 8.075 8.868
## PNN_pos_PV_intensity_PL_c 14.046 22.201 0.633
## RearingMS 19.218 9.564 2.009
## HousingSI -24.816 9.505 -2.611
## PNN_pos_PV_intensity_PL_c:RearingMS -12.599 26.255 -0.480
## PNN_pos_PV_intensity_PL_c:HousingSI 10.500 26.287 0.399
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI -31.450 34.760 -0.905
## Pr(>|t|)
## (Intercept) 2.99e-10 ***
## PNN_pos_PV_intensity_PL_c 0.5313
## RearingMS 0.0527 .
## HousingSI 0.0135 *
## PNN_pos_PV_intensity_PL_c:RearingMS 0.6345
## PNN_pos_PV_intensity_PL_c:HousingSI 0.6921
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.3721
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.32 on 33 degrees of freedom
## Multiple R-squared: 0.3111, Adjusted R-squared: 0.1858
## F-statistic: 2.484 on 6 and 33 DF, p-value: 0.04296
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.48, p = 0.04
## R² = 0.31
## Adj. R² = 0.19
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 71.61 8.07 8.87
## PNN_pos_PV_intensity_PL_c 14.05 22.20 0.63
## RearingMS 19.22 9.56 2.01
## HousingSI -24.82 9.51 -2.61
## PNN_pos_PV_intensity_PL_c:RearingMS -12.60 26.26 -0.48
## PNN_pos_PV_intensity_PL_c:HousingSI 10.50 26.29 0.40
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI -31.45 34.76 -0.90
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PNN_pos_PV_intensity_PL_c 0.53
## RearingMS 0.05
## HousingSI 0.01
## PNN_pos_PV_intensity_PL_c:RearingMS 0.63
## PNN_pos_PV_intensity_PL_c:HousingSI 0.69
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.37
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 344.4 344.4 0.4293 0.51686
## Rearing 1 4859.1 4859.1 6.0577 0.01924 *
## Housing 1 3612.7 3612.7 4.5039 0.04141 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 2335.9 2335.9 2.9121 0.09731 .
## PNN_pos_PV_intensity_PL_c:Housing 1 143.8 143.8 0.1793 0.67469
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 656.7 656.7 0.8187 0.37213
## Residuals 33 26470.2 802.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -47.918 -18.996 -1.529 16.898 74.881
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 73.141 9.607 7.613
## PV_pos_PNN_intensity_PL_c -13.534 24.537 -0.552
## RearingMS 15.181 11.728 1.294
## HousingSI -22.748 11.425 -1.991
## PV_pos_PNN_intensity_PL_c:RearingMS 23.157 29.160 0.794
## PV_pos_PNN_intensity_PL_c:HousingSI 12.360 30.398 0.407
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -39.542 48.507 -0.815
## Pr(>|t|)
## (Intercept) 9.23e-09 ***
## PV_pos_PNN_intensity_PL_c 0.5850
## RearingMS 0.2045
## HousingSI 0.0548 .
## PV_pos_PNN_intensity_PL_c:RearingMS 0.4328
## PV_pos_PNN_intensity_PL_c:HousingSI 0.6869
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.4208
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.83 on 33 degrees of freedom
## Multiple R-squared: 0.2357, Adjusted R-squared: 0.09672
## F-statistic: 1.696 on 6 and 33 DF, p-value: 0.1531
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.70, p = 0.15
## R² = 0.24
## Adj. R² = 0.10
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 73.14 9.61 7.61
## PV_pos_PNN_intensity_PL_c -13.53 24.54 -0.55
## RearingMS 15.18 11.73 1.29
## HousingSI -22.75 11.42 -1.99
## PV_pos_PNN_intensity_PL_c:RearingMS 23.16 29.16 0.79
## PV_pos_PNN_intensity_PL_c:HousingSI 12.36 30.40 0.41
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -39.54 48.51 -0.82
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PV_pos_PNN_intensity_PL_c 0.58
## RearingMS 0.20
## HousingSI 0.05
## PV_pos_PNN_intensity_PL_c:RearingMS 0.43
## PV_pos_PNN_intensity_PL_c:HousingSI 0.69
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.42
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 2.4 2.4 0.0027 0.95874
## Rearing 1 4798.1 4798.1 5.3917 0.02655 *
## Housing 1 3474.3 3474.3 3.9040 0.05658 .
## PV_pos_PNN_intensity_PL_c:Rearing 1 142.8 142.8 0.1605 0.69131
## PV_pos_PNN_intensity_PL_c:Housing 1 46.6 46.6 0.0523 0.82050
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 591.4 591.4 0.6645 0.42081
## Residuals 33 29367.2 889.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.872 -15.668 -1.014 11.026 69.977
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 69.1411 8.1164 8.519 7.63e-10 ***
## PV_count_IL_c 1.3510 0.9364 1.443 0.1585
## RearingMS 21.0671 9.7258 2.166 0.0376 *
## HousingSI -21.3748 9.7258 -2.198 0.0351 *
## PV_count_IL_c:RearingMS -0.7965 1.5958 -0.499 0.6210
## PV_count_IL_c:HousingSI -1.2353 1.2014 -1.028 0.3113
## PV_count_IL_c:RearingMS:HousingSI -0.6778 2.0290 -0.334 0.7405
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.34 on 33 degrees of freedom
## Multiple R-squared: 0.3102, Adjusted R-squared: 0.1848
## F-statistic: 2.473 on 6 and 33 DF, p-value: 0.04366
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.47, p = 0.04
## R² = 0.31
## Adj. R² = 0.18
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- -------- ------ -------- ------
## (Intercept) 69.14 8.12 8.52 0.00
## PV_count_IL_c 1.35 0.94 1.44 0.16
## RearingMS 21.07 9.73 2.17 0.04
## HousingSI -21.37 9.73 -2.20 0.04
## PV_count_IL_c:RearingMS -0.80 1.60 -0.50 0.62
## PV_count_IL_c:HousingSI -1.24 1.20 -1.03 0.31
## PV_count_IL_c:RearingMS:HousingSI -0.68 2.03 -0.33 0.74
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 632.9 632.9 0.7880 0.38112
## Rearing 1 3841.2 3841.2 4.7827 0.03594 *
## Housing 1 3817.2 3817.2 4.7529 0.03649 *
## PV_count_IL_c:Rearing 1 1414.9 1414.9 1.7617 0.19352
## PV_count_IL_c:Housing 1 2123.2 2123.2 2.6436 0.11348
## PV_count_IL_c:Rearing:Housing 1 89.6 89.6 0.1116 0.74046
## Residuals 33 26503.7 803.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -47.432 -21.803 -0.152 17.598 60.749
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 68.390 9.348 7.316 2.13e-08 ***
## PV_intensity_IL_c -6.747 45.927 -0.147 0.8841
## RearingMS 23.609 10.272 2.298 0.0280 *
## HousingSI -18.879 10.281 -1.836 0.0753 .
## PV_intensity_IL_c:RearingMS -20.367 54.104 -0.376 0.7090
## PV_intensity_IL_c:HousingSI 29.047 59.056 0.492 0.6261
## PV_intensity_IL_c:RearingMS:HousingSI 12.386 72.712 0.170 0.8658
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.57 on 33 degrees of freedom
## Multiple R-squared: 0.2493, Adjusted R-squared: 0.1128
## F-statistic: 1.826 on 6 and 33 DF, p-value: 0.1243
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.83, p = 0.12
## R² = 0.25
## Adj. R² = 0.11
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------- -------- ------
## (Intercept) 68.39 9.35 7.32 0.00
## PV_intensity_IL_c -6.75 45.93 -0.15 0.88
## RearingMS 23.61 10.27 2.30 0.03
## HousingSI -18.88 10.28 -1.84 0.08
## PV_intensity_IL_c:RearingMS -20.37 54.10 -0.38 0.71
## PV_intensity_IL_c:HousingSI 29.05 59.06 0.49 0.63
## PV_intensity_IL_c:RearingMS:HousingSI 12.39 72.71 0.17 0.87
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 170.1 170.1 0.1946 0.66201
## Rearing 1 4337.0 4337.0 4.9616 0.03285 *
## Housing 1 3761.6 3761.6 4.3034 0.04591 *
## PV_intensity_IL_c:Rearing 1 360.0 360.0 0.4119 0.52544
## PV_intensity_IL_c:Housing 1 923.1 923.1 1.0560 0.31161
## PV_intensity_IL_c:Rearing:Housing 1 25.4 25.4 0.0290 0.86578
## Residuals 33 28845.7 874.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -40.289 -20.955 -1.462 16.902 75.002
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 72.1037 9.9154 7.272 2.42e-08 ***
## PNN_count_IL_c -0.1528 1.4143 -0.108 0.915
## RearingMS 16.9599 11.0971 1.528 0.136
## HousingSI -23.9637 11.0232 -2.174 0.037 *
## PNN_count_IL_c:RearingMS -0.2942 2.4613 -0.120 0.906
## PNN_count_IL_c:HousingSI 0.8699 1.6977 0.512 0.612
## PNN_count_IL_c:RearingMS:HousingSI -1.6954 3.0050 -0.564 0.576
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.58 on 33 degrees of freedom
## Multiple R-squared: 0.2486, Adjusted R-squared: 0.112
## F-statistic: 1.82 on 6 and 33 DF, p-value: 0.1255
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.82, p = 0.13
## R² = 0.25
## Adj. R² = 0.11
##
## Standard errors: OLS
## -------------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- -------- ------- -------- ------
## (Intercept) 72.10 9.92 7.27 0.00
## PNN_count_IL_c -0.15 1.41 -0.11 0.91
## RearingMS 16.96 11.10 1.53 0.14
## HousingSI -23.96 11.02 -2.17 0.04
## PNN_count_IL_c:RearingMS -0.29 2.46 -0.12 0.91
## PNN_count_IL_c:HousingSI 0.87 1.70 0.51 0.61
## PNN_count_IL_c:RearingMS:HousingSI -1.70 3.01 -0.56 0.58
## -------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 235.2 235.2 0.2689 0.60756
## Rearing 1 4471.7 4471.7 5.1114 0.03049 *
## Housing 1 3560.5 3560.5 4.0699 0.05185 .
## PNN_count_IL_c:Rearing 1 975.4 975.4 1.1149 0.29868
## PNN_count_IL_c:Housing 1 31.6 31.6 0.0362 0.85037
## PNN_count_IL_c:Rearing:Housing 1 278.5 278.5 0.3183 0.57645
## Residuals 33 28869.8 874.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -47.956 -20.222 -1.017 15.415 64.384
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 71.157 9.010 7.898 4.17e-09 ***
## PNN_intensity_IL_c -16.225 32.496 -0.499 0.621
## RearingMS 19.784 12.154 1.628 0.113
## HousingSI -18.117 11.741 -1.543 0.132
## PNN_intensity_IL_c:RearingMS 17.172 37.605 0.457 0.651
## PNN_intensity_IL_c:HousingSI -3.899 45.729 -0.085 0.933
## PNN_intensity_IL_c:RearingMS:HousingSI 6.177 68.949 0.090 0.929
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.95 on 33 degrees of freedom
## Multiple R-squared: 0.2297, Adjusted R-squared: 0.08963
## F-statistic: 1.64 on 6 and 33 DF, p-value: 0.1674
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.64, p = 0.17
## R² = 0.23
## Adj. R² = 0.09
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------- -------- ------
## (Intercept) 71.16 9.01 7.90 0.00
## PNN_intensity_IL_c -16.22 32.50 -0.50 0.62
## RearingMS 19.78 12.15 1.63 0.11
## HousingSI -18.12 11.74 -1.54 0.13
## PNN_intensity_IL_c:RearingMS 17.17 37.60 0.46 0.65
## PNN_intensity_IL_c:HousingSI -3.90 45.73 -0.09 0.93
## PNN_intensity_IL_c:RearingMS:HousingSI 6.18 68.95 0.09 0.93
## -----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 21.6 21.6 0.0241 0.87766
## Rearing 1 4516.7 4516.7 5.0359 0.03165 *
## Housing 1 3868.0 3868.0 4.3127 0.04569 *
## PNN_intensity_IL_c:Rearing 1 411.1 411.1 0.4584 0.50309
## PNN_intensity_IL_c:Housing 1 0.7 0.7 0.0008 0.97737
## PNN_intensity_IL_c:Rearing:Housing 1 7.2 7.2 0.0080 0.92915
## Residuals 33 29597.5 896.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -49.866 -17.237 -1.017 11.622 71.810
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 69.681 9.050 7.700 7.23e-09
## PNN_pos_PV_count_IL_c 1.764 2.699 0.654 0.5177
## RearingMS 20.640 10.101 2.043 0.0491
## HousingSI -23.500 10.100 -2.327 0.0263
## PNN_pos_PV_count_IL_c:RearingMS 1.045 3.781 0.276 0.7840
## PNN_pos_PV_count_IL_c:HousingSI -0.975 3.192 -0.305 0.7619
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -4.830 4.746 -1.018 0.3163
##
## (Intercept) ***
## PNN_pos_PV_count_IL_c
## RearingMS *
## HousingSI *
## PNN_pos_PV_count_IL_c:RearingMS
## PNN_pos_PV_count_IL_c:HousingSI
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.45 on 33 degrees of freedom
## Multiple R-squared: 0.3049, Adjusted R-squared: 0.1785
## F-statistic: 2.412 on 6 and 33 DF, p-value: 0.0482
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.41, p = 0.05
## R² = 0.30
## Adj. R² = 0.18
##
## Standard errors: OLS
## --------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- -------- ------- -------- ------
## (Intercept) 69.68 9.05 7.70 0.00
## PNN_pos_PV_count_IL_c 1.76 2.70 0.65 0.52
## RearingMS 20.64 10.10 2.04 0.05
## HousingSI -23.50 10.10 -2.33 0.03
## PNN_pos_PV_count_IL_c:RearingMS 1.05 3.78 0.28 0.78
## PNN_pos_PV_count_IL_c:HousingSI -0.98 3.19 -0.31 0.76
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -4.83 4.75 -1.02 0.32
## --------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 292.9 292.9 0.3619 0.55157
## Rearing 1 4334.2 4334.2 5.3551 0.02703 *
## Housing 1 3662.9 3662.9 4.5257 0.04095 *
## PNN_pos_PV_count_IL_c:Rearing 1 586.2 586.2 0.7242 0.40089
## PNN_pos_PV_count_IL_c:Housing 1 1999.4 1999.4 2.4704 0.12555
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 838.1 838.1 1.0355 0.31627
## Residuals 33 26709.0 809.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -44.967 -15.809 -2.873 15.257 52.744
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 69.547 8.002 8.691
## PNN_pos_PV_intensity_IL_c 19.159 26.897 0.712
## RearingMS 24.825 9.354 2.654
## HousingSI -18.163 9.334 -1.946
## PNN_pos_PV_intensity_IL_c:RearingMS -51.243 32.315 -1.586
## PNN_pos_PV_intensity_IL_c:HousingSI -9.415 34.903 -0.270
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 82.162 48.447 1.696
## Pr(>|t|)
## (Intercept) 4.8e-10 ***
## PNN_pos_PV_intensity_IL_c 0.4813
## RearingMS 0.0121 *
## HousingSI 0.0602 .
## PNN_pos_PV_intensity_IL_c:RearingMS 0.1223
## PNN_pos_PV_intensity_IL_c:HousingSI 0.7890
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.0993 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 27.77 on 33 degrees of freedom
## Multiple R-squared: 0.3376, Adjusted R-squared: 0.2172
## F-statistic: 2.803 on 6 and 33 DF, p-value: 0.02573
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.80, p = 0.03
## R² = 0.34
## Adj. R² = 0.22
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 69.55 8.00 8.69
## PNN_pos_PV_intensity_IL_c 19.16 26.90 0.71
## RearingMS 24.83 9.35 2.65
## HousingSI -18.16 9.33 -1.95
## PNN_pos_PV_intensity_IL_c:RearingMS -51.24 32.31 -1.59
## PNN_pos_PV_intensity_IL_c:HousingSI -9.41 34.90 -0.27
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 82.16 48.45 1.70
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PNN_pos_PV_intensity_IL_c 0.48
## RearingMS 0.01
## HousingSI 0.06
## PNN_pos_PV_intensity_IL_c:RearingMS 0.12
## PNN_pos_PV_intensity_IL_c:HousingSI 0.79
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.10
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 93.2 93.2 0.1208 0.73037
## Rearing 1 4382.2 4382.2 5.6822 0.02305 *
## Housing 1 3792.2 3792.2 4.9171 0.03359 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 1055.6 1055.6 1.3688 0.25040
## PNN_pos_PV_intensity_IL_c:Housing 1 1430.9 1430.9 1.8553 0.18239
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 2218.2 2218.2 2.8761 0.09932 .
## Residuals 33 25450.5 771.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -50.082 -20.261 -1.222 17.193 53.557
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 69.41217 8.90289 7.797
## PV_pos_PNN_intensity_IL_c -10.12099 21.04663 -0.481
## RearingMS 24.73129 11.68062 2.117
## HousingSI -15.51308 11.42201 -1.358
## PV_pos_PNN_intensity_IL_c:RearingMS 6.71374 25.18643 0.267
## PV_pos_PNN_intensity_IL_c:HousingSI 0.02135 30.81472 0.001
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 24.21697 47.31237 0.512
## Pr(>|t|)
## (Intercept) 5.52e-09 ***
## PV_pos_PNN_intensity_IL_c 0.6338
## RearingMS 0.0419 *
## HousingSI 0.1836
## PV_pos_PNN_intensity_IL_c:RearingMS 0.7915
## PV_pos_PNN_intensity_IL_c:HousingSI 0.9995
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.6122
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.79 on 33 degrees of freedom
## Multiple R-squared: 0.2377, Adjusted R-squared: 0.09907
## F-statistic: 1.715 on 6 and 33 DF, p-value: 0.1485
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.71, p = 0.15
## R² = 0.24
## Adj. R² = 0.10
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 69.41 8.90 7.80
## PV_pos_PNN_intensity_IL_c -10.12 21.05 -0.48
## RearingMS 24.73 11.68 2.12
## HousingSI -15.51 11.42 -1.36
## PV_pos_PNN_intensity_IL_c:RearingMS 6.71 25.19 0.27
## PV_pos_PNN_intensity_IL_c:HousingSI 0.02 30.81 0.00
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 24.22 47.31 0.51
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PV_pos_PNN_intensity_IL_c 0.63
## RearingMS 0.04
## HousingSI 0.18
## PV_pos_PNN_intensity_IL_c:RearingMS 0.79
## PV_pos_PNN_intensity_IL_c:HousingSI 1.00
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.61
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 11.5 11.5 0.0129 0.91009
## Rearing 1 4578.2 4578.2 5.1580 0.02979 *
## Housing 1 3724.4 3724.4 4.1961 0.04854 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 330.9 330.9 0.3728 0.54567
## PV_pos_PNN_intensity_IL_c:Housing 1 254.5 254.5 0.2868 0.59589
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 232.5 232.5 0.2620 0.61216
## Residuals 33 29290.7 887.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [[1]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 752.3 752.3 0.8884 0.35275
## Rearing 1 3760.1 3760.1 4.4405 0.04278 *
## Housing 1 3898.6 3898.6 4.6041 0.03935 *
## PV_count_PL_c:Rearing 1 1500.0 1500.0 1.7715 0.19232
## PV_count_PL_c:Housing 1 568.1 568.1 0.6709 0.41861
## PV_count_PL_c:Rearing:Housing 1 0.1 0.1 0.0001 0.99259
## Residuals 33 27943.5 846.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[2]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 476.9 476.9 0.6038 0.44267
## Rearing 1 4935.3 4935.3 6.2481 0.01758 *
## Housing 1 3580.7 3580.7 4.5332 0.04080 *
## PV_intensity_PL_c:Rearing 1 1099.3 1099.3 1.3917 0.24655
## PV_intensity_PL_c:Housing 1 53.6 53.6 0.0678 0.79613
## PV_intensity_PL_c:Rearing:Housing 1 2210.7 2210.7 2.7988 0.10379
## Residuals 33 26066.3 789.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[3]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 662.8 662.8 0.8126 0.37390
## Rearing 1 3854.8 3854.8 4.7259 0.03699 *
## Housing 1 4227.0 4227.0 5.1823 0.02943 *
## PNN_count_PL_c:Rearing 1 1844.2 1844.2 2.2610 0.14218
## PNN_count_PL_c:Housing 1 217.7 217.7 0.2669 0.60887
## PNN_count_PL_c:Rearing:Housing 1 699.1 699.1 0.8571 0.36127
## Residuals 33 26917.2 815.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 7.2 7.2 0.0081 0.92869
## Rearing 1 4862.9 4862.9 5.4730 0.02551 *
## Housing 1 3395.5 3395.5 3.8215 0.05911 .
## PNN_intensity_PL_c:Rearing 1 168.9 168.9 0.1901 0.66565
## PNN_intensity_PL_c:Housing 1 124.3 124.3 0.1399 0.71080
## PNN_intensity_PL_c:Rearing:Housing 1 543.0 543.0 0.6111 0.43996
## Residuals 33 29321.1 888.5
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[5]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 629.9 629.9 0.7447 0.39438
## Rearing 1 3866.9 3866.9 4.5717 0.04000 *
## Housing 1 4165.6 4165.6 4.9248 0.03346 *
## PNN_pos_PV_count_PL_c:Rearing 1 512.1 512.1 0.6054 0.44207
## PNN_pos_PV_count_PL_c:Housing 1 30.4 30.4 0.0360 0.85069
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 1305.4 1305.4 1.5433 0.22288
## Residuals 33 27912.5 845.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 344.4 344.4 0.4293 0.51686
## Rearing 1 4859.1 4859.1 6.0577 0.01924 *
## Housing 1 3612.7 3612.7 4.5039 0.04141 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 2335.9 2335.9 2.9121 0.09731 .
## PNN_pos_PV_intensity_PL_c:Housing 1 143.8 143.8 0.1793 0.67469
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 656.7 656.7 0.8187 0.37213
## Residuals 33 26470.2 802.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[7]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 2.4 2.4 0.0027 0.95874
## Rearing 1 4798.1 4798.1 5.3917 0.02655 *
## Housing 1 3474.3 3474.3 3.9040 0.05658 .
## PV_pos_PNN_intensity_PL_c:Rearing 1 142.8 142.8 0.1605 0.69131
## PV_pos_PNN_intensity_PL_c:Housing 1 46.6 46.6 0.0523 0.82050
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 591.4 591.4 0.6645 0.42081
## Residuals 33 29367.2 889.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[8]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 632.9 632.9 0.7880 0.38112
## Rearing 1 3841.2 3841.2 4.7827 0.03594 *
## Housing 1 3817.2 3817.2 4.7529 0.03649 *
## PV_count_IL_c:Rearing 1 1414.9 1414.9 1.7617 0.19352
## PV_count_IL_c:Housing 1 2123.2 2123.2 2.6436 0.11348
## PV_count_IL_c:Rearing:Housing 1 89.6 89.6 0.1116 0.74046
## Residuals 33 26503.7 803.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[9]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 170.1 170.1 0.1946 0.66201
## Rearing 1 4337.0 4337.0 4.9616 0.03285 *
## Housing 1 3761.6 3761.6 4.3034 0.04591 *
## PV_intensity_IL_c:Rearing 1 360.0 360.0 0.4119 0.52544
## PV_intensity_IL_c:Housing 1 923.1 923.1 1.0560 0.31161
## PV_intensity_IL_c:Rearing:Housing 1 25.4 25.4 0.0290 0.86578
## Residuals 33 28845.7 874.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 235.2 235.2 0.2689 0.60756
## Rearing 1 4471.7 4471.7 5.1114 0.03049 *
## Housing 1 3560.5 3560.5 4.0699 0.05185 .
## PNN_count_IL_c:Rearing 1 975.4 975.4 1.1149 0.29868
## PNN_count_IL_c:Housing 1 31.6 31.6 0.0362 0.85037
## PNN_count_IL_c:Rearing:Housing 1 278.5 278.5 0.3183 0.57645
## Residuals 33 28869.8 874.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[11]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 21.6 21.6 0.0241 0.87766
## Rearing 1 4516.7 4516.7 5.0359 0.03165 *
## Housing 1 3868.0 3868.0 4.3127 0.04569 *
## PNN_intensity_IL_c:Rearing 1 411.1 411.1 0.4584 0.50309
## PNN_intensity_IL_c:Housing 1 0.7 0.7 0.0008 0.97737
## PNN_intensity_IL_c:Rearing:Housing 1 7.2 7.2 0.0080 0.92915
## Residuals 33 29597.5 896.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[12]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 292.9 292.9 0.3619 0.55157
## Rearing 1 4334.2 4334.2 5.3551 0.02703 *
## Housing 1 3662.9 3662.9 4.5257 0.04095 *
## PNN_pos_PV_count_IL_c:Rearing 1 586.2 586.2 0.7242 0.40089
## PNN_pos_PV_count_IL_c:Housing 1 1999.4 1999.4 2.4704 0.12555
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 838.1 838.1 1.0355 0.31627
## Residuals 33 26709.0 809.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[13]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 93.2 93.2 0.1208 0.73037
## Rearing 1 4382.2 4382.2 5.6822 0.02305 *
## Housing 1 3792.2 3792.2 4.9171 0.03359 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 1055.6 1055.6 1.3688 0.25040
## PNN_pos_PV_intensity_IL_c:Housing 1 1430.9 1430.9 1.8553 0.18239
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 2218.2 2218.2 2.8761 0.09932 .
## Residuals 33 25450.5 771.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[14]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 11.5 11.5 0.0129 0.91009
## Rearing 1 4578.2 4578.2 5.1580 0.02979 *
## Housing 1 3724.4 3724.4 4.1961 0.04854 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 330.9 330.9 0.3728 0.54567
## PV_pos_PNN_intensity_IL_c:Housing 1 254.5 254.5 0.2868 0.59589
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 232.5 232.5 0.2620 0.61216
## Residuals 33 29290.7 887.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Female - Head pokes
# Returning summary, summ, and anova stats for every linear model in the femalelm_head_pokes list
lapply(femalelm_head_pokes, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.5096 -2.1333 -0.2061 2.1409 8.7839
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 12.80949 1.08630 11.792 2.24e-13 ***
## PV_count_PL_c 0.03332 0.15348 0.217 0.8295
## RearingMS 0.77228 1.29266 0.597 0.5543
## HousingSI -2.27673 1.29423 -1.759 0.0878 .
## PV_count_PL_c:RearingMS 0.11914 0.18894 0.631 0.5327
## PV_count_PL_c:HousingSI 0.08955 0.17822 0.502 0.6187
## PV_count_PL_c:RearingMS:HousingSI -0.53442 0.24020 -2.225 0.0330 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.734 on 33 degrees of freedom
## Multiple R-squared: 0.2887, Adjusted R-squared: 0.1594
## F-statistic: 2.233 on 6 and 33 DF, p-value: 0.06443
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.23, p = 0.06
## R² = 0.29
## Adj. R² = 0.16
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 12.81 1.09 11.79 0.00
## PV_count_PL_c 0.03 0.15 0.22 0.83
## RearingMS 0.77 1.29 0.60 0.55
## HousingSI -2.28 1.29 -1.76 0.09
## PV_count_PL_c:RearingMS 0.12 0.19 0.63 0.53
## PV_count_PL_c:HousingSI 0.09 0.18 0.50 0.62
## PV_count_PL_c:RearingMS:HousingSI -0.53 0.24 -2.22 0.03
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 2.21 2.206 0.1582 0.69341
## Rearing 1 21.19 21.191 1.5197 0.22638
## Housing 1 10.71 10.710 0.7680 0.38716
## PV_count_PL_c:Rearing 1 33.84 33.838 2.4265 0.12884
## PV_count_PL_c:Housing 1 49.82 49.819 3.5726 0.06755 .
## PV_count_PL_c:Rearing:Housing 1 69.03 69.030 4.9502 0.03304 *
## Residuals 33 460.18 13.945
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.5661 -2.2388 0.4437 2.5372 4.8022
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 12.6004 0.9556 13.186 1.05e-14 ***
## PV_intensity_PL_c -0.7601 3.1058 -0.245 0.80818
## RearingMS 1.1458 1.1377 1.007 0.32120
## HousingSI -1.9131 1.1327 -1.689 0.10064
## PV_intensity_PL_c:RearingMS 5.1819 3.6001 1.439 0.15947
## PV_intensity_PL_c:HousingSI 7.8069 3.9410 1.981 0.05598 .
## PV_intensity_PL_c:RearingMS:HousingSI -18.4752 5.1799 -3.567 0.00113 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.427 on 33 degrees of freedom
## Multiple R-squared: 0.4009, Adjusted R-squared: 0.2919
## F-statistic: 3.68 on 6 and 33 DF, p-value: 0.006576
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 3.68, p = 0.01
## R² = 0.40
## Adj. R² = 0.29
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------ -------- ------
## (Intercept) 12.60 0.96 13.19 0.00
## PV_intensity_PL_c -0.76 3.11 -0.24 0.81
## RearingMS 1.15 1.14 1.01 0.32
## HousingSI -1.91 1.13 -1.69 0.10
## PV_intensity_PL_c:RearingMS 5.18 3.60 1.44 0.16
## PV_intensity_PL_c:HousingSI 7.81 3.94 1.98 0.06
## PV_intensity_PL_c:RearingMS:HousingSI -18.48 5.18 -3.57 0.00
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 38.54 38.545 3.2814 0.079178 .
## Rearing 1 32.21 32.212 2.7423 0.107207
## Housing 1 8.16 8.157 0.6944 0.410650
## PV_intensity_PL_c:Rearing 1 14.89 14.886 1.2673 0.268392
## PV_intensity_PL_c:Housing 1 16.12 16.116 1.3720 0.249857
## PV_intensity_PL_c:Rearing:Housing 1 149.43 149.429 12.7213 0.001129 **
## Residuals 33 387.63 11.746
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.636 -2.063 0.550 1.918 8.660
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.3604 1.1549 11.568 3.74e-13 ***
## PNN_count_PL_c -0.1958 0.1792 -1.093 0.2825
## RearingMS 0.2130 1.4106 0.151 0.8809
## HousingSI -2.5398 1.3904 -1.827 0.0768 .
## PNN_count_PL_c:RearingMS 0.3297 0.2667 1.236 0.2252
## PNN_count_PL_c:HousingSI 0.4214 0.2333 1.806 0.0800 .
## PNN_count_PL_c:RearingMS:HousingSI -1.0025 0.3930 -2.551 0.0156 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.896 on 33 degrees of freedom
## Multiple R-squared: 0.2257, Adjusted R-squared: 0.08488
## F-statistic: 1.603 on 6 and 33 DF, p-value: 0.1775
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.60, p = 0.18
## R² = 0.23
## Adj. R² = 0.08
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 13.36 1.15 11.57 0.00
## PNN_count_PL_c -0.20 0.18 -1.09 0.28
## RearingMS 0.21 1.41 0.15 0.88
## HousingSI -2.54 1.39 -1.83 0.08
## PNN_count_PL_c:RearingMS 0.33 0.27 1.24 0.23
## PNN_count_PL_c:HousingSI 0.42 0.23 1.81 0.08
## PNN_count_PL_c:RearingMS:HousingSI -1.00 0.39 -2.55 0.02
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 1.50 1.502 0.0990 0.75507
## Rearing 1 21.92 21.924 1.4442 0.23802
## Housing 1 11.00 10.997 0.7244 0.40084
## PNN_count_PL_c:Rearing 1 11.93 11.925 0.7855 0.38187
## PNN_count_PL_c:Housing 1 0.85 0.854 0.0563 0.81394
## PNN_count_PL_c:Rearing:Housing 1 98.80 98.799 6.5081 0.01556 *
## Residuals 33 500.97 15.181
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.7257 -2.4656 0.0088 2.7327 8.8827
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.5624 1.3276 10.215 9.47e-12 ***
## PNN_intensity_PL_c -2.6769 3.9984 -0.669 0.508
## RearingMS -0.2413 1.6687 -0.145 0.886
## HousingSI -2.4046 1.6211 -1.483 0.147
## PNN_intensity_PL_c:RearingMS 3.5283 4.6751 0.755 0.456
## PNN_intensity_PL_c:HousingSI 2.1635 4.9110 0.441 0.662
## PNN_intensity_PL_c:RearingMS:HousingSI -11.0858 8.0326 -1.380 0.177
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.12 on 33 degrees of freedom
## Multiple R-squared: 0.1342, Adjusted R-squared: -0.02321
## F-statistic: 0.8526 on 6 and 33 DF, p-value: 0.5393
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.85, p = 0.54
## R² = 0.13
## Adj. R² = -0.02
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------ -------- ------
## (Intercept) 13.56 1.33 10.22 0.00
## PNN_intensity_PL_c -2.68 4.00 -0.67 0.51
## RearingMS -0.24 1.67 -0.14 0.89
## HousingSI -2.40 1.62 -1.48 0.15
## PNN_intensity_PL_c:RearingMS 3.53 4.68 0.75 0.46
## PNN_intensity_PL_c:HousingSI 2.16 4.91 0.44 0.66
## PNN_intensity_PL_c:RearingMS:HousingSI -11.09 8.03 -1.38 0.18
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 10.54 10.544 0.6212 0.4362
## Rearing 1 17.31 17.314 1.0201 0.3199
## Housing 1 17.41 17.411 1.0257 0.3185
## PNN_intensity_PL_c:Rearing 1 0.00 0.003 0.0002 0.9892
## PNN_intensity_PL_c:Housing 1 9.23 9.228 0.5437 0.4661
## PNN_intensity_PL_c:Rearing:Housing 1 32.33 32.330 1.9047 0.1768
## Residuals 33 560.14 16.974
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.1696 -2.1385 0.5006 1.8745 8.9642
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.5461 1.0712 12.646 3.34e-14
## PNN_pos_PV_count_PL_c -0.3079 0.2670 -1.153 0.25711
## RearingMS -0.4320 1.3033 -0.332 0.74236
## HousingSI -3.0616 1.2951 -2.364 0.02412
## PNN_pos_PV_count_PL_c:RearingMS 0.5810 0.3253 1.786 0.08324
## PNN_pos_PV_count_PL_c:HousingSI 0.5801 0.3311 1.752 0.08907
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -1.6188 0.4637 -3.491 0.00139
##
## (Intercept) ***
## PNN_pos_PV_count_PL_c
## RearingMS
## HousingSI *
## PNN_pos_PV_count_PL_c:RearingMS .
## PNN_pos_PV_count_PL_c:HousingSI .
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.563 on 33 degrees of freedom
## Multiple R-squared: 0.3525, Adjusted R-squared: 0.2347
## F-statistic: 2.994 on 6 and 33 DF, p-value: 0.01903
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.99, p = 0.02
## R² = 0.35
## Adj. R² = 0.23
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.55 1.07 12.65 0.00
## PNN_pos_PV_count_PL_c -0.31 0.27 -1.15 0.26
## RearingMS -0.43 1.30 -0.33 0.74
## HousingSI -3.06 1.30 -2.36 0.02
## PNN_pos_PV_count_PL_c:RearingMS 0.58 0.33 1.79 0.08
## PNN_pos_PV_count_PL_c:HousingSI 0.58 0.33 1.75 0.09
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -1.62 0.46 -3.49 0.00
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 7.55 7.548 0.5946 0.44614
## Rearing 1 17.60 17.598 1.3862 0.24747
## Housing 1 13.57 13.573 1.0691 0.30866
## PNN_pos_PV_count_PL_c:Rearing 1 10.81 10.814 0.8518 0.36275
## PNN_pos_PV_count_PL_c:Housing 1 23.80 23.798 1.8746 0.18020
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 154.70 154.704 12.1861 0.00139 **
## Residuals 33 418.94 12.695
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.5521 -2.6584 0.4328 2.2322 5.8170
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 12.7136 1.0109 12.576
## PNN_pos_PV_intensity_PL_c -0.7608 2.7794 -0.274
## RearingMS 0.8433 1.1974 0.704
## HousingSI -1.9521 1.1900 -1.640
## PNN_pos_PV_intensity_PL_c:RearingMS 4.2555 3.2870 1.295
## PNN_pos_PV_intensity_PL_c:HousingSI 5.0635 3.2909 1.539
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI -14.0479 4.3517 -3.228
## Pr(>|t|)
## (Intercept) 3.89e-14 ***
## PNN_pos_PV_intensity_PL_c 0.78599
## RearingMS 0.48620
## HousingSI 0.11042
## PNN_pos_PV_intensity_PL_c:RearingMS 0.20443
## PNN_pos_PV_intensity_PL_c:HousingSI 0.13343
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.00282 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.546 on 33 degrees of freedom
## Multiple R-squared: 0.3587, Adjusted R-squared: 0.2421
## F-statistic: 3.077 on 6 and 33 DF, p-value: 0.0167
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 3.08, p = 0.02
## R² = 0.36
## Adj. R² = 0.24
##
## Standard errors: OLS
## -----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- -------- ------ -------- ------
## (Intercept) 12.71 1.01 12.58 0.00
## PNN_pos_PV_intensity_PL_c -0.76 2.78 -0.27 0.79
## RearingMS 0.84 1.20 0.70 0.49
## HousingSI -1.95 1.19 -1.64 0.11
## PNN_pos_PV_intensity_PL_c:RearingMS 4.26 3.29 1.29 0.20
## PNN_pos_PV_intensity_PL_c:HousingSI 5.06 3.29 1.54 0.13
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI -14.05 4.35 -3.23 0.00
## -----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 19.35 19.346 1.5388 0.223545
## Rearing 1 29.37 29.375 2.3365 0.135903
## Housing 1 8.87 8.867 0.7053 0.407067
## PNN_pos_PV_intensity_PL_c:Rearing 1 20.95 20.950 1.6664 0.205718
## PNN_pos_PV_intensity_PL_c:Housing 1 22.55 22.545 1.7933 0.189681
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 131.01 131.013 10.4209 0.002816 **
## Residuals 33 414.88 12.572
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.8018 -2.0303 -0.0975 2.8142 8.8290
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.607 1.322 10.290
## PV_pos_PNN_intensity_PL_c -2.710 3.377 -0.802
## RearingMS -0.150 1.614 -0.093
## HousingSI -2.408 1.573 -1.532
## PV_pos_PNN_intensity_PL_c:RearingMS 3.306 4.014 0.824
## PV_pos_PNN_intensity_PL_c:HousingSI 2.303 4.184 0.551
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -9.652 6.677 -1.446
## Pr(>|t|)
## (Intercept) 7.88e-12 ***
## PV_pos_PNN_intensity_PL_c 0.428
## RearingMS 0.927
## HousingSI 0.135
## PV_pos_PNN_intensity_PL_c:RearingMS 0.416
## PV_pos_PNN_intensity_PL_c:HousingSI 0.586
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.158
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.106 on 33 degrees of freedom
## Multiple R-squared: 0.14, Adjusted R-squared: -0.01633
## F-statistic: 0.8956 on 6 and 33 DF, p-value: 0.5096
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.90, p = 0.51
## R² = 0.14
## Adj. R² = -0.02
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.61 1.32 10.29 0.00
## PV_pos_PNN_intensity_PL_c -2.71 3.38 -0.80 0.43
## RearingMS -0.15 1.61 -0.09 0.93
## HousingSI -2.41 1.57 -1.53 0.14
## PV_pos_PNN_intensity_PL_c:RearingMS 3.31 4.01 0.82 0.42
## PV_pos_PNN_intensity_PL_c:HousingSI 2.30 4.18 0.55 0.59
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -9.65 6.68 -1.45 0.16
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 12.41 12.412 0.7362 0.3971
## Rearing 1 16.92 16.921 1.0036 0.3237
## Housing 1 18.95 18.951 1.1240 0.2968
## PV_pos_PNN_intensity_PL_c:Rearing 1 0.08 0.078 0.0046 0.9462
## PV_pos_PNN_intensity_PL_c:Housing 1 7.00 6.997 0.4150 0.5239
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 35.24 35.235 2.0899 0.1577
## Residuals 33 556.38 16.860
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.8324 -2.6507 0.6334 2.4161 9.2358
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 12.84611 1.15740 11.099 1.12e-12 ***
## PV_count_IL_c -0.01780 0.13352 -0.133 0.8947
## RearingMS 1.47098 1.38689 1.061 0.2966
## HousingSI -1.92596 1.38689 -1.389 0.1742
## PV_count_IL_c:RearingMS 0.18724 0.22756 0.823 0.4165
## PV_count_IL_c:HousingSI 0.08603 0.17131 0.502 0.6189
## PV_count_IL_c:RearingMS:HousingSI -0.49808 0.28933 -1.721 0.0945 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.041 on 33 degrees of freedom
## Multiple R-squared: 0.167, Adjusted R-squared: 0.01552
## F-statistic: 1.102 on 6 and 33 DF, p-value: 0.3818
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.10, p = 0.38
## R² = 0.17
## Adj. R² = 0.02
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 12.85 1.16 11.10 0.00
## PV_count_IL_c -0.02 0.13 -0.13 0.89
## RearingMS 1.47 1.39 1.06 0.30
## HousingSI -1.93 1.39 -1.39 0.17
## PV_count_IL_c:RearingMS 0.19 0.23 0.82 0.42
## PV_count_IL_c:HousingSI 0.09 0.17 0.50 0.62
## PV_count_IL_c:RearingMS:HousingSI -0.50 0.29 -1.72 0.09
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 10.81 10.809 0.6618 0.42174
## Rearing 1 15.12 15.125 0.9261 0.34288
## Housing 1 9.87 9.871 0.6044 0.44243
## PV_count_IL_c:Rearing 1 13.55 13.546 0.8295 0.36903
## PV_count_IL_c:Housing 1 10.28 10.285 0.6297 0.43312
## PV_count_IL_c:Rearing:Housing 1 48.40 48.397 2.9634 0.09453 .
## Residuals 33 538.94 16.332
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.4807 -2.0345 -0.0395 2.8894 8.3669
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 12.143 1.244 9.759 2.98e-11 ***
## PV_intensity_IL_c -7.071 6.114 -1.157 0.2557
## RearingMS 1.509 1.367 1.103 0.2779
## HousingSI -1.355 1.369 -0.990 0.3292
## PV_intensity_IL_c:RearingMS 10.407 7.202 1.445 0.1579
## PV_intensity_IL_c:HousingSI 11.884 7.861 1.512 0.1401
## PV_intensity_IL_c:RearingMS:HousingSI -23.387 9.679 -2.416 0.0214 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.936 on 33 degrees of freedom
## Multiple R-squared: 0.21, Adjusted R-squared: 0.06633
## F-statistic: 1.462 on 6 and 33 DF, p-value: 0.2217
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.46, p = 0.22
## R² = 0.21
## Adj. R² = 0.07
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------ -------- ------
## (Intercept) 12.14 1.24 9.76 0.00
## PV_intensity_IL_c -7.07 6.11 -1.16 0.26
## RearingMS 1.51 1.37 1.10 0.28
## HousingSI -1.36 1.37 -0.99 0.33
## PV_intensity_IL_c:RearingMS 10.41 7.20 1.44 0.16
## PV_intensity_IL_c:HousingSI 11.88 7.86 1.51 0.14
## PV_intensity_IL_c:RearingMS:HousingSI -23.39 9.68 -2.42 0.02
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 6.23 6.235 0.4025 0.53016
## Rearing 1 21.07 21.071 1.3604 0.25183
## Housing 1 9.88 9.883 0.6381 0.43011
## PV_intensity_IL_c:Rearing 1 1.47 1.467 0.0947 0.76023
## PV_intensity_IL_c:Housing 1 6.76 6.758 0.4363 0.51349
## PV_intensity_IL_c:Rearing:Housing 1 90.43 90.431 5.8385 0.02137 *
## Residuals 33 511.13 15.489
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.9368 -1.8591 0.4443 2.0378 8.4695
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.73380 1.30024 10.563 4.04e-12 ***
## PNN_count_IL_c -0.16124 0.18546 -0.869 0.3909
## RearingMS -0.04874 1.45519 -0.033 0.9735
## HousingSI -2.80902 1.44551 -1.943 0.0606 .
## PNN_count_IL_c:RearingMS 0.16025 0.32276 0.497 0.6228
## PNN_count_IL_c:HousingSI 0.33538 0.22263 1.506 0.1415
## PNN_count_IL_c:RearingMS:HousingSI -0.74773 0.39406 -1.898 0.0665 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.879 on 33 degrees of freedom
## Multiple R-squared: 0.2327, Adjusted R-squared: 0.09316
## F-statistic: 1.668 on 6 and 33 DF, p-value: 0.1601
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.67, p = 0.16
## R² = 0.23
## Adj. R² = 0.09
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 13.73 1.30 10.56 0.00
## PNN_count_IL_c -0.16 0.19 -0.87 0.39
## RearingMS -0.05 1.46 -0.03 0.97
## HousingSI -2.81 1.45 -1.94 0.06
## PNN_count_IL_c:RearingMS 0.16 0.32 0.50 0.62
## PNN_count_IL_c:HousingSI 0.34 0.22 1.51 0.14
## PNN_count_IL_c:RearingMS:HousingSI -0.75 0.39 -1.90 0.07
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 8.78 8.785 0.5839 0.45020
## Rearing 1 15.52 15.521 1.0317 0.31714
## Housing 1 13.38 13.382 0.8895 0.35246
## PNN_count_IL_c:Rearing 1 56.80 56.803 3.7759 0.06057 .
## PNN_count_IL_c:Housing 1 1.88 1.877 0.1248 0.72618
## PNN_count_IL_c:Rearing:Housing 1 54.16 54.165 3.6005 0.06654 .
## Residuals 33 496.44 15.044
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.1582 -2.7981 -0.0131 2.2762 8.2838
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.5609 1.2213 11.104 1.1e-12 ***
## PNN_intensity_IL_c -2.9289 4.4047 -0.665 0.511
## RearingMS -0.2542 1.6474 -0.154 0.878
## HousingSI -2.2460 1.5914 -1.411 0.168
## PNN_intensity_IL_c:RearingMS 2.7526 5.0971 0.540 0.593
## PNN_intensity_IL_c:HousingSI -0.7055 6.1982 -0.114 0.910
## PNN_intensity_IL_c:RearingMS:HousingSI -7.9365 9.3455 -0.849 0.402
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.059 on 33 degrees of freedom
## Multiple R-squared: 0.1595, Adjusted R-squared: 0.006713
## F-statistic: 1.044 on 6 and 33 DF, p-value: 0.4153
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.04, p = 0.42
## R² = 0.16
## Adj. R² = 0.01
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.56 1.22 11.10 0.00
## PNN_intensity_IL_c -2.93 4.40 -0.66 0.51
## RearingMS -0.25 1.65 -0.15 0.88
## HousingSI -2.25 1.59 -1.41 0.17
## PNN_intensity_IL_c:RearingMS 2.75 5.10 0.54 0.59
## PNN_intensity_IL_c:HousingSI -0.71 6.20 -0.11 0.91
## PNN_intensity_IL_c:RearingMS:HousingSI -7.94 9.35 -0.85 0.40
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 30.30 30.304 1.8391 0.1843
## Rearing 1 15.01 15.014 0.9111 0.3468
## Housing 1 24.82 24.819 1.5062 0.2284
## PNN_intensity_IL_c:Rearing 1 1.61 1.607 0.0975 0.7568
## PNN_intensity_IL_c:Housing 1 19.58 19.583 1.1884 0.2835
## PNN_intensity_IL_c:Rearing:Housing 1 11.88 11.883 0.7212 0.4019
## Residuals 33 543.77 16.478
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.0128 -2.2254 0.3525 1.9949 9.3471
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.5276 1.1950 11.320 6.65e-13
## PNN_pos_PV_count_IL_c -0.2773 0.3564 -0.778 0.4421
## RearingMS 0.5225 1.3339 0.392 0.6978
## HousingSI -2.6938 1.3337 -2.020 0.0516
## PNN_pos_PV_count_IL_c:RearingMS 0.6402 0.4993 1.282 0.2088
## PNN_pos_PV_count_IL_c:HousingSI 0.4920 0.4215 1.167 0.2515
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -1.6290 0.6267 -2.599 0.0139
##
## (Intercept) ***
## PNN_pos_PV_count_IL_c
## RearingMS
## HousingSI .
## PNN_pos_PV_count_IL_c:RearingMS
## PNN_pos_PV_count_IL_c:HousingSI
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.757 on 33 degrees of freedom
## Multiple R-squared: 0.2801, Adjusted R-squared: 0.1492
## F-statistic: 2.14 on 6 and 33 DF, p-value: 0.07486
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 2.14, p = 0.07
## R² = 0.28
## Adj. R² = 0.15
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.53 1.20 11.32 0.00
## PNN_pos_PV_count_IL_c -0.28 0.36 -0.78 0.44
## RearingMS 0.52 1.33 0.39 0.70
## HousingSI -2.69 1.33 -2.02 0.05
## PNN_pos_PV_count_IL_c:RearingMS 0.64 0.50 1.28 0.21
## PNN_pos_PV_count_IL_c:HousingSI 0.49 0.42 1.17 0.25
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -1.63 0.63 -2.60 0.01
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 19.79 19.789 1.4021 0.24484
## Rearing 1 10.62 10.624 0.7527 0.39188
## Housing 1 13.05 13.055 0.9249 0.34317
## PNN_pos_PV_count_IL_c:Rearing 1 24.63 24.625 1.7447 0.19563
## PNN_pos_PV_count_IL_c:Housing 1 17.76 17.759 1.2583 0.27008
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 95.35 95.353 6.7558 0.01387 *
## Residuals 33 465.77 14.114
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.9181 -2.1794 0.4623 2.9413 8.7194
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 12.517 1.208 10.364
## PNN_pos_PV_intensity_IL_c -1.780 4.060 -0.438
## RearingMS 1.453 1.412 1.029
## HousingSI -1.320 1.409 -0.937
## PNN_pos_PV_intensity_IL_c:RearingMS 4.155 4.877 0.852
## PNN_pos_PV_intensity_IL_c:HousingSI 3.791 5.268 0.720
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -9.404 7.312 -1.286
## Pr(>|t|)
## (Intercept) 6.56e-12 ***
## PNN_pos_PV_intensity_IL_c 0.664
## RearingMS 0.311
## HousingSI 0.355
## PNN_pos_PV_intensity_IL_c:RearingMS 0.400
## PNN_pos_PV_intensity_IL_c:HousingSI 0.477
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.207
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.192 on 33 degrees of freedom
## Multiple R-squared: 0.1038, Adjusted R-squared: -0.05911
## F-statistic: 0.6372 on 6 and 33 DF, p-value: 0.6996
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.64, p = 0.70
## R² = 0.10
## Adj. R² = -0.06
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 12.52 1.21 10.36 0.00
## PNN_pos_PV_intensity_IL_c -1.78 4.06 -0.44 0.66
## RearingMS 1.45 1.41 1.03 0.31
## HousingSI -1.32 1.41 -0.94 0.36
## PNN_pos_PV_intensity_IL_c:RearingMS 4.15 4.88 0.85 0.40
## PNN_pos_PV_intensity_IL_c:HousingSI 3.79 5.27 0.72 0.48
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -9.40 7.31 -1.29 0.21
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 0.57 0.5705 0.0325 0.8581
## Rearing 1 24.73 24.7288 1.4075 0.2439
## Housing 1 11.07 11.0653 0.6298 0.4331
## PNN_pos_PV_intensity_IL_c:Rearing 1 0.25 0.2465 0.0140 0.9064
## PNN_pos_PV_intensity_IL_c:Housing 1 1.51 1.5055 0.0857 0.7716
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 29.06 29.0580 1.6539 0.2074
## Residuals 33 579.80 17.5697
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.3740 -2.4688 -0.2345 3.0155 8.6806
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.46455 1.22513 10.990
## PV_pos_PNN_intensity_IL_c -2.21895 2.89623 -0.766
## RearingMS -0.04796 1.60737 -0.030
## HousingSI -2.16110 1.57179 -1.375
## PV_pos_PNN_intensity_IL_c:RearingMS 2.22835 3.46591 0.643
## PV_pos_PNN_intensity_IL_c:HousingSI 0.43198 4.24042 0.102
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -6.42359 6.51066 -0.987
## Pr(>|t|)
## (Intercept) 1.44e-12 ***
## PV_pos_PNN_intensity_IL_c 0.449
## RearingMS 0.976
## HousingSI 0.178
## PV_pos_PNN_intensity_IL_c:RearingMS 0.525
## PV_pos_PNN_intensity_IL_c:HousingSI 0.919
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.331
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.1 on 33 degrees of freedom
## Multiple R-squared: 0.1427, Adjusted R-squared: -0.0132
## F-statistic: 0.9153 on 6 and 33 DF, p-value: 0.4963
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.92, p = 0.50
## R² = 0.14
## Adj. R² = -0.01
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.46 1.23 10.99 0.00
## PV_pos_PNN_intensity_IL_c -2.22 2.90 -0.77 0.45
## RearingMS -0.05 1.61 -0.03 0.98
## HousingSI -2.16 1.57 -1.37 0.18
## PV_pos_PNN_intensity_IL_c:RearingMS 2.23 3.47 0.64 0.52
## PV_pos_PNN_intensity_IL_c:HousingSI 0.43 4.24 0.10 0.92
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -6.42 6.51 -0.99 0.33
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 25.36 25.358 1.5087 0.2280
## Rearing 1 15.01 15.007 0.8929 0.3516
## Housing 1 21.36 21.358 1.2707 0.2678
## PV_pos_PNN_intensity_IL_c:Rearing 1 1.12 1.120 0.0666 0.7979
## PV_pos_PNN_intensity_IL_c:Housing 1 13.11 13.105 0.7797 0.3836
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 16.36 16.361 0.9734 0.3310
## Residuals 33 554.66 16.808
## [[1]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 2.21 2.206 0.1582 0.69341
## Rearing 1 21.19 21.191 1.5197 0.22638
## Housing 1 10.71 10.710 0.7680 0.38716
## PV_count_PL_c:Rearing 1 33.84 33.838 2.4265 0.12884
## PV_count_PL_c:Housing 1 49.82 49.819 3.5726 0.06755 .
## PV_count_PL_c:Rearing:Housing 1 69.03 69.030 4.9502 0.03304 *
## Residuals 33 460.18 13.945
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[2]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 38.54 38.545 3.2814 0.079178 .
## Rearing 1 32.21 32.212 2.7423 0.107207
## Housing 1 8.16 8.157 0.6944 0.410650
## PV_intensity_PL_c:Rearing 1 14.89 14.886 1.2673 0.268392
## PV_intensity_PL_c:Housing 1 16.12 16.116 1.3720 0.249857
## PV_intensity_PL_c:Rearing:Housing 1 149.43 149.429 12.7213 0.001129 **
## Residuals 33 387.63 11.746
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[3]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 1.50 1.502 0.0990 0.75507
## Rearing 1 21.92 21.924 1.4442 0.23802
## Housing 1 11.00 10.997 0.7244 0.40084
## PNN_count_PL_c:Rearing 1 11.93 11.925 0.7855 0.38187
## PNN_count_PL_c:Housing 1 0.85 0.854 0.0563 0.81394
## PNN_count_PL_c:Rearing:Housing 1 98.80 98.799 6.5081 0.01556 *
## Residuals 33 500.97 15.181
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 10.54 10.544 0.6212 0.4362
## Rearing 1 17.31 17.314 1.0201 0.3199
## Housing 1 17.41 17.411 1.0257 0.3185
## PNN_intensity_PL_c:Rearing 1 0.00 0.003 0.0002 0.9892
## PNN_intensity_PL_c:Housing 1 9.23 9.228 0.5437 0.4661
## PNN_intensity_PL_c:Rearing:Housing 1 32.33 32.330 1.9047 0.1768
## Residuals 33 560.14 16.974
##
## [[5]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 7.55 7.548 0.5946 0.44614
## Rearing 1 17.60 17.598 1.3862 0.24747
## Housing 1 13.57 13.573 1.0691 0.30866
## PNN_pos_PV_count_PL_c:Rearing 1 10.81 10.814 0.8518 0.36275
## PNN_pos_PV_count_PL_c:Housing 1 23.80 23.798 1.8746 0.18020
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 154.70 154.704 12.1861 0.00139 **
## Residuals 33 418.94 12.695
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 19.35 19.346 1.5388 0.223545
## Rearing 1 29.37 29.375 2.3365 0.135903
## Housing 1 8.87 8.867 0.7053 0.407067
## PNN_pos_PV_intensity_PL_c:Rearing 1 20.95 20.950 1.6664 0.205718
## PNN_pos_PV_intensity_PL_c:Housing 1 22.55 22.545 1.7933 0.189681
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 131.01 131.013 10.4209 0.002816 **
## Residuals 33 414.88 12.572
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[7]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 12.41 12.412 0.7362 0.3971
## Rearing 1 16.92 16.921 1.0036 0.3237
## Housing 1 18.95 18.951 1.1240 0.2968
## PV_pos_PNN_intensity_PL_c:Rearing 1 0.08 0.078 0.0046 0.9462
## PV_pos_PNN_intensity_PL_c:Housing 1 7.00 6.997 0.4150 0.5239
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 35.24 35.235 2.0899 0.1577
## Residuals 33 556.38 16.860
##
## [[8]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 10.81 10.809 0.6618 0.42174
## Rearing 1 15.12 15.125 0.9261 0.34288
## Housing 1 9.87 9.871 0.6044 0.44243
## PV_count_IL_c:Rearing 1 13.55 13.546 0.8295 0.36903
## PV_count_IL_c:Housing 1 10.28 10.285 0.6297 0.43312
## PV_count_IL_c:Rearing:Housing 1 48.40 48.397 2.9634 0.09453 .
## Residuals 33 538.94 16.332
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[9]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 6.23 6.235 0.4025 0.53016
## Rearing 1 21.07 21.071 1.3604 0.25183
## Housing 1 9.88 9.883 0.6381 0.43011
## PV_intensity_IL_c:Rearing 1 1.47 1.467 0.0947 0.76023
## PV_intensity_IL_c:Housing 1 6.76 6.758 0.4363 0.51349
## PV_intensity_IL_c:Rearing:Housing 1 90.43 90.431 5.8385 0.02137 *
## Residuals 33 511.13 15.489
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 8.78 8.785 0.5839 0.45020
## Rearing 1 15.52 15.521 1.0317 0.31714
## Housing 1 13.38 13.382 0.8895 0.35246
## PNN_count_IL_c:Rearing 1 56.80 56.803 3.7759 0.06057 .
## PNN_count_IL_c:Housing 1 1.88 1.877 0.1248 0.72618
## PNN_count_IL_c:Rearing:Housing 1 54.16 54.165 3.6005 0.06654 .
## Residuals 33 496.44 15.044
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[11]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 30.30 30.304 1.8391 0.1843
## Rearing 1 15.01 15.014 0.9111 0.3468
## Housing 1 24.82 24.819 1.5062 0.2284
## PNN_intensity_IL_c:Rearing 1 1.61 1.607 0.0975 0.7568
## PNN_intensity_IL_c:Housing 1 19.58 19.583 1.1884 0.2835
## PNN_intensity_IL_c:Rearing:Housing 1 11.88 11.883 0.7212 0.4019
## Residuals 33 543.77 16.478
##
## [[12]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 19.79 19.789 1.4021 0.24484
## Rearing 1 10.62 10.624 0.7527 0.39188
## Housing 1 13.05 13.055 0.9249 0.34317
## PNN_pos_PV_count_IL_c:Rearing 1 24.63 24.625 1.7447 0.19563
## PNN_pos_PV_count_IL_c:Housing 1 17.76 17.759 1.2583 0.27008
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 95.35 95.353 6.7558 0.01387 *
## Residuals 33 465.77 14.114
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[13]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 0.57 0.5705 0.0325 0.8581
## Rearing 1 24.73 24.7288 1.4075 0.2439
## Housing 1 11.07 11.0653 0.6298 0.4331
## PNN_pos_PV_intensity_IL_c:Rearing 1 0.25 0.2465 0.0140 0.9064
## PNN_pos_PV_intensity_IL_c:Housing 1 1.51 1.5055 0.0857 0.7716
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 29.06 29.0580 1.6539 0.2074
## Residuals 33 579.80 17.5697
##
## [[14]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 25.36 25.358 1.5087 0.2280
## Rearing 1 15.01 15.007 0.8929 0.3516
## Housing 1 21.36 21.358 1.2707 0.2678
## PV_pos_PNN_intensity_IL_c:Rearing 1 1.12 1.120 0.0666 0.7979
## PV_pos_PNN_intensity_IL_c:Housing 1 13.11 13.105 0.7797 0.3836
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 16.36 16.361 0.9734 0.3310
## Residuals 33 554.66 16.808
Female - Time in the open
# Returning summary, summ, and anova stats for every linear model in the femalelm_time_open list
lapply(femalelm_time_open, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -53.379 -13.063 -1.834 16.720 55.927
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 43.04566 8.69481 4.951 2.13e-05 ***
## PV_count_PL_c 1.19534 1.22846 0.973 0.338
## RearingMS -7.97890 10.34659 -0.771 0.446
## HousingSI 9.12843 10.35916 0.881 0.385
## PV_count_PL_c:RearingMS 0.13423 1.51228 0.089 0.930
## PV_count_PL_c:HousingSI -1.07901 1.42652 -0.756 0.455
## PV_count_PL_c:RearingMS:HousingSI 0.00247 1.92256 0.001 0.999
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.89 on 33 degrees of freedom
## Multiple R-squared: 0.126, Adjusted R-squared: -0.03291
## F-statistic: 0.7929 on 6 and 33 DF, p-value: 0.5821
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.79, p = 0.58
## R² = 0.13
## Adj. R² = -0.03
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------- -------- ------
## (Intercept) 43.05 8.69 4.95 0.00
## PV_count_PL_c 1.20 1.23 0.97 0.34
## RearingMS -7.98 10.35 -0.77 0.45
## HousingSI 9.13 10.36 0.88 0.38
## PV_count_PL_c:RearingMS 0.13 1.51 0.09 0.93
## PV_count_PL_c:HousingSI -1.08 1.43 -0.76 0.45
## PV_count_PL_c:RearingMS:HousingSI 0.00 1.92 0.00 1.00
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 2043.9 2043.89 2.2878 0.1399
## Rearing 1 292.9 292.91 0.3279 0.5708
## Housing 1 554.2 554.17 0.6203 0.4366
## PV_count_PL_c:Rearing 1 112.0 112.01 0.1254 0.7255
## PV_count_PL_c:Housing 1 1247.3 1247.29 1.3961 0.2458
## PV_count_PL_c:Rearing:Housing 1 0.0 0.00 0.0000 0.9990
## Residuals 33 29481.6 893.38
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.525 -20.180 -5.413 18.303 63.700
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 48.240 8.340 5.784 1.82e-06 ***
## PV_intensity_PL_c 6.938 27.106 0.256 0.800
## RearingMS -13.318 9.929 -1.341 0.189
## HousingSI 6.651 9.885 0.673 0.506
## PV_intensity_PL_c:RearingMS -12.813 31.421 -0.408 0.686
## PV_intensity_PL_c:HousingSI -40.528 34.396 -1.178 0.247
## PV_intensity_PL_c:RearingMS:HousingSI 31.866 45.209 0.705 0.486
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.91 on 33 degrees of freedom
## Multiple R-squared: 0.1247, Adjusted R-squared: -0.03449
## F-statistic: 0.7833 on 6 and 33 DF, p-value: 0.5892
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.78, p = 0.59
## R² = 0.12
## Adj. R² = -0.03
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------- -------- ------
## (Intercept) 48.24 8.34 5.78 0.00
## PV_intensity_PL_c 6.94 27.11 0.26 0.80
## RearingMS -13.32 9.93 -1.34 0.19
## HousingSI 6.65 9.89 0.67 0.51
## PV_intensity_PL_c:RearingMS -12.81 31.42 -0.41 0.69
## PV_intensity_PL_c:HousingSI -40.53 34.40 -1.18 0.25
## PV_intensity_PL_c:RearingMS:HousingSI 31.87 45.21 0.70 0.49
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 1127.6 1127.63 1.2603 0.2697
## Rearing 1 1249.9 1249.93 1.3970 0.2457
## Housing 1 312.2 312.20 0.3489 0.5587
## PV_intensity_PL_c:Rearing 1 187.9 187.87 0.2100 0.6498
## PV_intensity_PL_c:Housing 1 882.8 882.84 0.9867 0.3278
## PV_intensity_PL_c:Rearing:Housing 1 444.5 444.54 0.4968 0.4858
## Residuals 33 29526.9 894.75
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -54.204 -22.955 1.612 17.653 52.741
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 39.488 8.543 4.622 5.59e-05 ***
## PNN_count_PL_c 2.360 1.326 1.780 0.0842 .
## RearingMS -4.128 10.434 -0.396 0.6949
## HousingSI 13.932 10.284 1.355 0.1847
## PNN_count_PL_c:RearingMS -0.234 1.973 -0.119 0.9063
## PNN_count_PL_c:HousingSI -2.103 1.725 -1.219 0.2315
## PNN_count_PL_c:RearingMS:HousingSI 1.477 2.907 0.508 0.6147
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.82 on 33 degrees of freedom
## Multiple R-squared: 0.1874, Adjusted R-squared: 0.03967
## F-statistic: 1.269 on 6 and 33 DF, p-value: 0.2985
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.27, p = 0.30
## R² = 0.19
## Adj. R² = 0.04
##
## Standard errors: OLS
## ------------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------- -------- ------
## (Intercept) 39.49 8.54 4.62 0.00
## PNN_count_PL_c 2.36 1.33 1.78 0.08
## RearingMS -4.13 10.43 -0.40 0.69
## HousingSI 13.93 10.28 1.35 0.18
## PNN_count_PL_c:RearingMS -0.23 1.97 -0.12 0.91
## PNN_count_PL_c:HousingSI -2.10 1.73 -1.22 0.23
## PNN_count_PL_c:RearingMS:HousingSI 1.48 2.91 0.51 0.61
## ------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 3508.3 3508.3 4.2237 0.04785 *
## Rearing 1 201.1 201.1 0.2421 0.62595
## Housing 1 1114.9 1114.9 1.3422 0.25496
## PNN_count_PL_c:Rearing 1 163.3 163.3 0.1966 0.66035
## PNN_count_PL_c:Housing 1 1119.8 1119.8 1.3482 0.25393
## PNN_count_PL_c:Rearing:Housing 1 214.5 214.5 0.2582 0.61474
## Residuals 33 27410.1 830.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -44.948 -20.764 -3.565 21.721 56.728
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 39.010 9.686 4.027 0.000311 ***
## PNN_intensity_PL_c 40.065 29.172 1.373 0.178884
## RearingMS -1.966 12.175 -0.161 0.872728
## HousingSI 10.726 11.827 0.907 0.371029
## PNN_intensity_PL_c:RearingMS -39.799 34.109 -1.167 0.251642
## PNN_intensity_PL_c:HousingSI -19.684 35.830 -0.549 0.586458
## PNN_intensity_PL_c:RearingMS:HousingSI 36.061 58.605 0.615 0.542567
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.06 on 33 degrees of freedom
## Multiple R-squared: 0.1161, Adjusted R-squared: -0.04464
## F-statistic: 0.7222 on 6 and 33 DF, p-value: 0.6346
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.72, p = 0.63
## R² = 0.12
## Adj. R² = -0.04
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------- -------- ------
## (Intercept) 39.01 9.69 4.03 0.00
## PNN_intensity_PL_c 40.07 29.17 1.37 0.18
## RearingMS -1.97 12.17 -0.16 0.87
## HousingSI 10.73 11.83 0.91 0.37
## PNN_intensity_PL_c:RearingMS -39.80 34.11 -1.17 0.25
## PNN_intensity_PL_c:HousingSI -19.68 35.83 -0.55 0.59
## PNN_intensity_PL_c:RearingMS:HousingSI 36.06 58.61 0.62 0.54
## -----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 1144.8 1144.82 1.2671 0.2684
## Rearing 1 534.0 533.96 0.5910 0.4475
## Housing 1 917.1 917.07 1.0150 0.3210
## PNN_intensity_PL_c:Rearing 1 952.7 952.65 1.0544 0.3120
## PNN_intensity_PL_c:Housing 1 24.8 24.84 0.0275 0.8693
## PNN_intensity_PL_c:Rearing:Housing 1 342.1 342.09 0.3786 0.5426
## Residuals 33 29816.5 903.53
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -52.691 -16.885 1.229 18.630 53.572
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 39.186 8.683 4.513 7.69e-05
## PNN_pos_PV_count_PL_c 4.095 2.165 1.892 0.0673
## RearingMS -6.034 10.565 -0.571 0.5718
## HousingSI 12.339 10.498 1.175 0.2483
## PNN_pos_PV_count_PL_c:RearingMS -1.857 2.637 -0.704 0.4862
## PNN_pos_PV_count_PL_c:HousingSI -3.439 2.684 -1.281 0.2090
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI 1.922 3.759 0.511 0.6126
##
## (Intercept) ***
## PNN_pos_PV_count_PL_c .
## RearingMS
## HousingSI
## PNN_pos_PV_count_PL_c:RearingMS
## PNN_pos_PV_count_PL_c:HousingSI
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.88 on 33 degrees of freedom
## Multiple R-squared: 0.1839, Adjusted R-squared: 0.03553
## F-statistic: 1.239 on 6 and 33 DF, p-value: 0.3118
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.24, p = 0.31
## R² = 0.18
## Adj. R² = 0.04
##
## Standard errors: OLS
## -------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------- -------- ------
## (Intercept) 39.19 8.68 4.51 0.00
## PNN_pos_PV_count_PL_c 4.10 2.16 1.89 0.07
## RearingMS -6.03 10.56 -0.57 0.57
## HousingSI 12.34 10.50 1.18 0.25
## PNN_pos_PV_count_PL_c:RearingMS -1.86 2.64 -0.70 0.49
## PNN_pos_PV_count_PL_c:HousingSI -3.44 2.68 -1.28 0.21
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI 1.92 3.76 0.51 0.61
## -------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 3108.6 3108.61 3.7265 0.06219 .
## Rearing 1 205.4 205.40 0.2462 0.62304
## Housing 1 1047.2 1047.22 1.2554 0.27062
## PNN_pos_PV_count_PL_c:Rearing 1 59.1 59.10 0.0708 0.79177
## PNN_pos_PV_count_PL_c:Housing 1 1565.2 1565.23 1.8763 0.18000
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 218.1 218.06 0.2614 0.61256
## Residuals 33 27528.3 834.19
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -48.18 -19.44 -4.44 20.15 63.92
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 47.839 8.484 5.639
## PNN_pos_PV_intensity_PL_c 3.096 23.325 0.133
## RearingMS -11.977 10.048 -1.192
## HousingSI 7.181 9.987 0.719
## PNN_pos_PV_intensity_PL_c:RearingMS -11.630 27.585 -0.422
## PNN_pos_PV_intensity_PL_c:HousingSI -28.838 27.618 -1.044
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 33.969 36.520 0.930
## Pr(>|t|)
## (Intercept) 2.8e-06 ***
## PNN_pos_PV_intensity_PL_c 0.895
## RearingMS 0.242
## HousingSI 0.477
## PNN_pos_PV_intensity_PL_c:RearingMS 0.676
## PNN_pos_PV_intensity_PL_c:HousingSI 0.304
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.359
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.76 on 33 degrees of freedom
## Multiple R-squared: 0.1338, Adjusted R-squared: -0.02371
## F-statistic: 0.8494 on 6 and 33 DF, p-value: 0.5415
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.85, p = 0.54
## R² = 0.13
## Adj. R² = -0.02
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 47.84 8.48 5.64
## PNN_pos_PV_intensity_PL_c 3.10 23.33 0.13
## RearingMS -11.98 10.05 -1.19
## HousingSI 7.18 9.99 0.72
## PNN_pos_PV_intensity_PL_c:RearingMS -11.63 27.58 -0.42
## PNN_pos_PV_intensity_PL_c:HousingSI -28.84 27.62 -1.04
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 33.97 36.52 0.93
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PNN_pos_PV_intensity_PL_c 0.90
## RearingMS 0.24
## HousingSI 0.48
## PNN_pos_PV_intensity_PL_c:RearingMS 0.68
## PNN_pos_PV_intensity_PL_c:HousingSI 0.30
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.36
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 1540.5 1540.53 1.7399 0.1962
## Rearing 1 1288.0 1288.01 1.4547 0.2364
## Housing 1 303.5 303.50 0.3428 0.5622
## PNN_pos_PV_intensity_PL_c:Rearing 1 371.9 371.91 0.4200 0.5214
## PNN_pos_PV_intensity_PL_c:Housing 1 242.7 242.74 0.2741 0.6041
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 766.1 766.07 0.8652 0.3590
## Residuals 33 29219.2 885.43
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -45.79 -20.83 -3.60 22.09 57.04
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 38.868 9.673 4.018
## PV_pos_PNN_intensity_PL_c 35.277 24.706 1.428
## RearingMS -2.962 11.809 -0.251
## HousingSI 11.277 11.504 0.980
## PV_pos_PNN_intensity_PL_c:RearingMS -32.929 29.361 -1.121
## PV_pos_PNN_intensity_PL_c:HousingSI -18.326 30.607 -0.599
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 28.040 48.841 0.574
## Pr(>|t|)
## (Intercept) 0.00032 ***
## PV_pos_PNN_intensity_PL_c 0.16274
## RearingMS 0.80349
## HousingSI 0.33406
## PV_pos_PNN_intensity_PL_c:RearingMS 0.27017
## PV_pos_PNN_intensity_PL_c:HousingSI 0.55343
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.56979
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.04 on 33 degrees of freedom
## Multiple R-squared: 0.1174, Adjusted R-squared: -0.04312
## F-statistic: 0.7313 on 6 and 33 DF, p-value: 0.6278
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.73, p = 0.63
## R² = 0.12
## Adj. R² = -0.04
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 38.87 9.67 4.02
## PV_pos_PNN_intensity_PL_c 35.28 24.71 1.43
## RearingMS -2.96 11.81 -0.25
## HousingSI 11.28 11.50 0.98
## PV_pos_PNN_intensity_PL_c:RearingMS -32.93 29.36 -1.12
## PV_pos_PNN_intensity_PL_c:HousingSI -18.33 30.61 -0.60
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 28.04 48.84 0.57
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PV_pos_PNN_intensity_PL_c 0.16
## RearingMS 0.80
## HousingSI 0.33
## PV_pos_PNN_intensity_PL_c:RearingMS 0.27
## PV_pos_PNN_intensity_PL_c:HousingSI 0.55
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.57
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 1225.9 1225.92 1.3588 0.2521
## Rearing 1 532.5 532.53 0.5902 0.4478
## Housing 1 990.4 990.42 1.0978 0.3024
## PV_pos_PNN_intensity_PL_c:Rearing 1 843.8 843.80 0.9353 0.3405
## PV_pos_PNN_intensity_PL_c:Housing 1 68.7 68.70 0.0762 0.7843
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 297.4 297.37 0.3296 0.5698
## Residuals 33 29773.2 902.22
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.033 -17.952 0.939 17.051 63.956
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 47.79131 8.60670 5.553 3.61e-06 ***
## PV_count_IL_c -0.09393 0.99292 -0.095 0.925
## RearingMS -7.84574 10.31323 -0.761 0.452
## HousingSI 6.70582 10.31325 0.650 0.520
## PV_count_IL_c:RearingMS 2.03288 1.69217 1.201 0.238
## PV_count_IL_c:HousingSI -0.40143 1.27393 -0.315 0.755
## PV_count_IL_c:RearingMS:HousingSI -0.86639 2.15156 -0.403 0.690
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.05 on 33 degrees of freedom
## Multiple R-squared: 0.1165, Adjusted R-squared: -0.04414
## F-statistic: 0.7252 on 6 and 33 DF, p-value: 0.6324
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.73, p = 0.63
## R² = 0.12
## Adj. R² = -0.04
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------- -------- ------
## (Intercept) 47.79 8.61 5.55 0.00
## PV_count_IL_c -0.09 0.99 -0.09 0.93
## RearingMS -7.85 10.31 -0.76 0.45
## HousingSI 6.71 10.31 0.65 0.52
## PV_count_IL_c:RearingMS 2.03 1.69 1.20 0.24
## PV_count_IL_c:HousingSI -0.40 1.27 -0.32 0.75
## PV_count_IL_c:RearingMS:HousingSI -0.87 2.15 -0.40 0.69
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 622.8 622.77 0.6896 0.4123
## Rearing 1 534.6 534.64 0.5920 0.4471
## Housing 1 351.8 351.81 0.3896 0.5368
## PV_count_IL_c:Rearing 1 1764.3 1764.33 1.9536 0.1715
## PV_count_IL_c:Housing 1 509.7 509.69 0.5644 0.4578
## PV_count_IL_c:Rearing:Housing 1 146.4 146.44 0.1622 0.6898
## Residuals 33 29802.2 903.10
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.975 -15.669 -3.379 18.757 57.432
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 55.6825 9.1857 6.062 8.04e-07 ***
## PV_intensity_IL_c 78.0942 45.1309 1.730 0.0929 .
## RearingMS -18.8307 10.0939 -1.866 0.0710 .
## HousingSI 0.4029 10.1031 0.040 0.9684
## PV_intensity_IL_c:RearingMS -67.4117 53.1657 -1.268 0.2137
## PV_intensity_IL_c:HousingSI -120.5740 58.0322 -2.078 0.0456 *
## PV_intensity_IL_c:RearingMS:HousingSI 75.2433 71.4515 1.053 0.3000
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.05 on 33 degrees of freedom
## Multiple R-squared: 0.1742, Adjusted R-squared: 0.02411
## F-statistic: 1.161 on 6 and 33 DF, p-value: 0.3507
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.16, p = 0.35
## R² = 0.17
## Adj. R² = 0.02
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- --------- ------- -------- ------
## (Intercept) 55.68 9.19 6.06 0.00
## PV_intensity_IL_c 78.09 45.13 1.73 0.09
## RearingMS -18.83 10.09 -1.87 0.07
## HousingSI 0.40 10.10 0.04 0.97
## PV_intensity_IL_c:RearingMS -67.41 53.17 -1.27 0.21
## PV_intensity_IL_c:HousingSI -120.57 58.03 -2.08 0.05
## PV_intensity_IL_c:RearingMS:HousingSI 75.24 71.45 1.05 0.30
## -----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 3.9 3.9 0.0047 0.94604
## Rearing 1 972.4 972.4 1.1520 0.29091
## Housing 1 412.4 412.4 0.4886 0.48946
## PV_intensity_IL_c:Rearing 1 46.8 46.8 0.0554 0.81536
## PV_intensity_IL_c:Housing 1 3506.2 3506.2 4.1540 0.04962 *
## PV_intensity_IL_c:Rearing:Housing 1 936.0 936.0 1.1090 0.29996
## Residuals 33 27854.2 844.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.033 -20.008 2.064 19.624 49.702
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 35.450 9.856 3.597 0.00104 **
## PNN_count_IL_c 2.637 1.406 1.876 0.06955 .
## RearingMS 1.170 11.030 0.106 0.91618
## HousingSI 15.569 10.957 1.421 0.16471
## PNN_count_IL_c:RearingMS -1.374 2.446 -0.562 0.57813
## PNN_count_IL_c:HousingSI -2.545 1.688 -1.508 0.14103
## PNN_count_IL_c:RearingMS:HousingSI 2.536 2.987 0.849 0.40207
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.4 on 33 degrees of freedom
## Multiple R-squared: 0.1544, Adjusted R-squared: 0.0006821
## F-statistic: 1.004 on 6 and 33 DF, p-value: 0.4391
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.00, p = 0.44
## R² = 0.15
## Adj. R² = 0.00
##
## Standard errors: OLS
## ------------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------- -------- ------
## (Intercept) 35.45 9.86 3.60 0.00
## PNN_count_IL_c 2.64 1.41 1.88 0.07
## RearingMS 1.17 11.03 0.11 0.92
## HousingSI 15.57 10.96 1.42 0.16
## PNN_count_IL_c:RearingMS -1.37 2.45 -0.56 0.58
## PNN_count_IL_c:HousingSI -2.55 1.69 -1.51 0.14
## PNN_count_IL_c:RearingMS:HousingSI 2.54 2.99 0.85 0.40
## ------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 2106.2 2106.15 2.4367 0.1281
## Rearing 1 144.5 144.53 0.1672 0.6852
## Housing 1 947.1 947.06 1.0957 0.3028
## PNN_count_IL_c:Rearing 1 17.4 17.45 0.0202 0.8879
## PNN_count_IL_c:Housing 1 1371.0 1370.99 1.5862 0.2167
## PNN_count_IL_c:Rearing:Housing 1 622.8 622.81 0.7206 0.4021
## Residuals 33 28522.9 864.33
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -44.641 -20.646 -1.789 20.810 61.259
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 44.072 8.976 4.910 2.4e-05 ***
## PNN_intensity_IL_c 37.550 32.373 1.160 0.254
## RearingMS -10.692 12.108 -0.883 0.384
## HousingSI 2.854 11.697 0.244 0.809
## PNN_intensity_IL_c:RearingMS -26.966 37.463 -0.720 0.477
## PNN_intensity_IL_c:HousingSI 3.802 45.556 0.083 0.934
## PNN_intensity_IL_c:RearingMS:HousingSI -36.105 68.688 -0.526 0.603
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.83 on 33 degrees of freedom
## Multiple R-squared: 0.1292, Adjusted R-squared: -0.02913
## F-statistic: 0.816 on 6 and 33 DF, p-value: 0.5654
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.82, p = 0.57
## R² = 0.13
## Adj. R² = -0.03
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------- -------- ------
## (Intercept) 44.07 8.98 4.91 0.00
## PNN_intensity_IL_c 37.55 32.37 1.16 0.25
## RearingMS -10.69 12.11 -0.88 0.38
## HousingSI 2.85 11.70 0.24 0.81
## PNN_intensity_IL_c:RearingMS -26.97 37.46 -0.72 0.48
## PNN_intensity_IL_c:HousingSI 3.80 45.56 0.08 0.93
## PNN_intensity_IL_c:RearingMS:HousingSI -36.11 68.69 -0.53 0.60
## -----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 1027.7 1027.73 1.1546 0.2904
## Rearing 1 636.3 636.26 0.7148 0.4039
## Housing 1 887.7 887.71 0.9973 0.3252
## PNN_intensity_IL_c:Rearing 1 1382.0 1382.02 1.5526 0.2215
## PNN_intensity_IL_c:Housing 1 178.3 178.30 0.2003 0.6574
## PNN_intensity_IL_c:Rearing:Housing 1 245.9 245.94 0.2763 0.6027
## Residuals 33 29373.9 890.12
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -53.295 -17.764 -2.883 20.269 54.779
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 40.028 9.680 4.135 0.000229
## PNN_pos_PV_count_IL_c 3.324 2.886 1.152 0.257744
## RearingMS -3.189 10.805 -0.295 0.769740
## HousingSI 10.827 10.803 1.002 0.323506
## PNN_pos_PV_count_IL_c:RearingMS -2.325 4.045 -0.575 0.569385
## PNN_pos_PV_count_IL_c:HousingSI -2.642 3.414 -0.774 0.444591
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI 3.243 5.077 0.639 0.527311
##
## (Intercept) ***
## PNN_pos_PV_count_IL_c
## RearingMS
## HousingSI
## PNN_pos_PV_count_IL_c:RearingMS
## PNN_pos_PV_count_IL_c:HousingSI
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.43 on 33 degrees of freedom
## Multiple R-squared: 0.09406, Adjusted R-squared: -0.07066
## F-statistic: 0.571 on 6 and 33 DF, p-value: 0.7504
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.57, p = 0.75
## R² = 0.09
## Adj. R² = -0.07
##
## Standard errors: OLS
## -------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------- -------- ------
## (Intercept) 40.03 9.68 4.14 0.00
## PNN_pos_PV_count_IL_c 3.32 2.89 1.15 0.26
## RearingMS -3.19 10.80 -0.30 0.77
## HousingSI 10.83 10.80 1.00 0.32
## PNN_pos_PV_count_IL_c:RearingMS -2.32 4.04 -0.57 0.57
## PNN_pos_PV_count_IL_c:HousingSI -2.64 3.41 -0.77 0.44
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI 3.24 5.08 0.64 0.53
## -------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 1827.7 1827.73 1.9737 0.1694
## Rearing 1 195.8 195.78 0.2114 0.6487
## Housing 1 579.3 579.25 0.6255 0.4347
## PNN_pos_PV_count_IL_c:Rearing 1 6.5 6.46 0.0070 0.9339
## PNN_pos_PV_count_IL_c:Housing 1 185.5 185.51 0.2003 0.6574
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 378.0 377.98 0.4082 0.5273
## Residuals 33 30559.2 926.04
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -52.364 -13.351 -5.663 16.720 56.292
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 50.969 8.277 6.158
## PNN_pos_PV_intensity_IL_c 26.012 27.821 0.935
## RearingMS -17.218 9.675 -1.780
## HousingSI 3.722 9.655 0.386
## PNN_pos_PV_intensity_IL_c:RearingMS -6.353 33.424 -0.190
## PNN_pos_PV_intensity_IL_c:HousingSI -57.410 36.101 -1.590
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -6.762 50.110 -0.135
## Pr(>|t|)
## (Intercept) 6.06e-07 ***
## PNN_pos_PV_intensity_IL_c 0.3566
## RearingMS 0.0844 .
## HousingSI 0.7023
## PNN_pos_PV_intensity_IL_c:RearingMS 0.8504
## PNN_pos_PV_intensity_IL_c:HousingSI 0.1213
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.8935
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.72 on 33 degrees of freedom
## Multiple R-squared: 0.1928, Adjusted R-squared: 0.04605
## F-statistic: 1.314 on 6 and 33 DF, p-value: 0.2786
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 1.31, p = 0.28
## R² = 0.19
## Adj. R² = 0.05
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 50.97 8.28 6.16
## PNN_pos_PV_intensity_IL_c 26.01 27.82 0.93
## RearingMS -17.22 9.68 -1.78
## HousingSI 3.72 9.65 0.39
## PNN_pos_PV_intensity_IL_c:RearingMS -6.35 33.42 -0.19
## PNN_pos_PV_intensity_IL_c:HousingSI -57.41 36.10 -1.59
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -6.76 50.11 -0.13
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PNN_pos_PV_intensity_IL_c 0.36
## RearingMS 0.08
## HousingSI 0.70
## PNN_pos_PV_intensity_IL_c:RearingMS 0.85
## PNN_pos_PV_intensity_IL_c:HousingSI 0.12
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.89
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 21.5 21.5 0.0261 0.87263
## Rearing 1 1000.1 1000.1 1.2121 0.27888
## Housing 1 411.9 411.9 0.4992 0.48479
## PNN_pos_PV_intensity_IL_c:Rearing 1 206.9 206.9 0.2507 0.61990
## PNN_pos_PV_intensity_IL_c:Housing 1 4848.4 4848.4 5.8762 0.02099 *
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 15.0 15.0 0.0182 0.89347
## Residuals 33 27228.1 825.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_females)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.814 -19.155 0.333 22.128 58.918
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 44.201 8.815 5.014
## PV_pos_PNN_intensity_IL_c 27.544 20.840 1.322
## RearingMS -12.495 11.566 -1.080
## HousingSI 2.803 11.310 0.248
## PV_pos_PNN_intensity_IL_c:RearingMS -15.088 24.939 -0.605
## PV_pos_PNN_intensity_IL_c:HousingSI -1.908 30.511 -0.063
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -32.954 46.847 -0.703
## Pr(>|t|)
## (Intercept) 1.77e-05 ***
## PV_pos_PNN_intensity_IL_c 0.195
## RearingMS 0.288
## HousingSI 0.806
## PV_pos_PNN_intensity_IL_c:RearingMS 0.549
## PV_pos_PNN_intensity_IL_c:HousingSI 0.951
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.487
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.5 on 33 degrees of freedom
## Multiple R-squared: 0.1487, Adjusted R-squared: -0.00612
## F-statistic: 0.9605 on 6 and 33 DF, p-value: 0.4667
##
## MODEL INFO:
## Observations: 40
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,33) = 0.96, p = 0.47
## R² = 0.15
## Adj. R² = -0.01
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 44.20 8.82 5.01
## PV_pos_PNN_intensity_IL_c 27.54 20.84 1.32
## RearingMS -12.49 11.57 -1.08
## HousingSI 2.80 11.31 0.25
## PV_pos_PNN_intensity_IL_c:RearingMS -15.09 24.94 -0.61
## PV_pos_PNN_intensity_IL_c:HousingSI -1.91 30.51 -0.06
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -32.95 46.85 -0.70
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PV_pos_PNN_intensity_IL_c 0.20
## RearingMS 0.29
## HousingSI 0.81
## PV_pos_PNN_intensity_IL_c:RearingMS 0.55
## PV_pos_PNN_intensity_IL_c:HousingSI 0.95
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.49
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 1430.5 1430.49 1.6438 0.2087
## Rearing 1 548.7 548.72 0.6306 0.4328
## Housing 1 915.1 915.12 1.0516 0.3126
## PV_pos_PNN_intensity_IL_c:Rearing 1 1097.6 1097.64 1.2613 0.2695
## PV_pos_PNN_intensity_IL_c:Housing 1 592.3 592.29 0.6806 0.4153
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 430.6 430.60 0.4948 0.4867
## Residuals 33 28717.1 870.21
## [[1]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 2043.9 2043.89 2.2878 0.1399
## Rearing 1 292.9 292.91 0.3279 0.5708
## Housing 1 554.2 554.17 0.6203 0.4366
## PV_count_PL_c:Rearing 1 112.0 112.01 0.1254 0.7255
## PV_count_PL_c:Housing 1 1247.3 1247.29 1.3961 0.2458
## PV_count_PL_c:Rearing:Housing 1 0.0 0.00 0.0000 0.9990
## Residuals 33 29481.6 893.38
##
## [[2]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 1127.6 1127.63 1.2603 0.2697
## Rearing 1 1249.9 1249.93 1.3970 0.2457
## Housing 1 312.2 312.20 0.3489 0.5587
## PV_intensity_PL_c:Rearing 1 187.9 187.87 0.2100 0.6498
## PV_intensity_PL_c:Housing 1 882.8 882.84 0.9867 0.3278
## PV_intensity_PL_c:Rearing:Housing 1 444.5 444.54 0.4968 0.4858
## Residuals 33 29526.9 894.75
##
## [[3]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 3508.3 3508.3 4.2237 0.04785 *
## Rearing 1 201.1 201.1 0.2421 0.62595
## Housing 1 1114.9 1114.9 1.3422 0.25496
## PNN_count_PL_c:Rearing 1 163.3 163.3 0.1966 0.66035
## PNN_count_PL_c:Housing 1 1119.8 1119.8 1.3482 0.25393
## PNN_count_PL_c:Rearing:Housing 1 214.5 214.5 0.2582 0.61474
## Residuals 33 27410.1 830.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 1144.8 1144.82 1.2671 0.2684
## Rearing 1 534.0 533.96 0.5910 0.4475
## Housing 1 917.1 917.07 1.0150 0.3210
## PNN_intensity_PL_c:Rearing 1 952.7 952.65 1.0544 0.3120
## PNN_intensity_PL_c:Housing 1 24.8 24.84 0.0275 0.8693
## PNN_intensity_PL_c:Rearing:Housing 1 342.1 342.09 0.3786 0.5426
## Residuals 33 29816.5 903.53
##
## [[5]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 3108.6 3108.61 3.7265 0.06219 .
## Rearing 1 205.4 205.40 0.2462 0.62304
## Housing 1 1047.2 1047.22 1.2554 0.27062
## PNN_pos_PV_count_PL_c:Rearing 1 59.1 59.10 0.0708 0.79177
## PNN_pos_PV_count_PL_c:Housing 1 1565.2 1565.23 1.8763 0.18000
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 218.1 218.06 0.2614 0.61256
## Residuals 33 27528.3 834.19
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 1540.5 1540.53 1.7399 0.1962
## Rearing 1 1288.0 1288.01 1.4547 0.2364
## Housing 1 303.5 303.50 0.3428 0.5622
## PNN_pos_PV_intensity_PL_c:Rearing 1 371.9 371.91 0.4200 0.5214
## PNN_pos_PV_intensity_PL_c:Housing 1 242.7 242.74 0.2741 0.6041
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 766.1 766.07 0.8652 0.3590
## Residuals 33 29219.2 885.43
##
## [[7]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 1225.9 1225.92 1.3588 0.2521
## Rearing 1 532.5 532.53 0.5902 0.4478
## Housing 1 990.4 990.42 1.0978 0.3024
## PV_pos_PNN_intensity_PL_c:Rearing 1 843.8 843.80 0.9353 0.3405
## PV_pos_PNN_intensity_PL_c:Housing 1 68.7 68.70 0.0762 0.7843
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 297.4 297.37 0.3296 0.5698
## Residuals 33 29773.2 902.22
##
## [[8]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 622.8 622.77 0.6896 0.4123
## Rearing 1 534.6 534.64 0.5920 0.4471
## Housing 1 351.8 351.81 0.3896 0.5368
## PV_count_IL_c:Rearing 1 1764.3 1764.33 1.9536 0.1715
## PV_count_IL_c:Housing 1 509.7 509.69 0.5644 0.4578
## PV_count_IL_c:Rearing:Housing 1 146.4 146.44 0.1622 0.6898
## Residuals 33 29802.2 903.10
##
## [[9]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 3.9 3.9 0.0047 0.94604
## Rearing 1 972.4 972.4 1.1520 0.29091
## Housing 1 412.4 412.4 0.4886 0.48946
## PV_intensity_IL_c:Rearing 1 46.8 46.8 0.0554 0.81536
## PV_intensity_IL_c:Housing 1 3506.2 3506.2 4.1540 0.04962 *
## PV_intensity_IL_c:Rearing:Housing 1 936.0 936.0 1.1090 0.29996
## Residuals 33 27854.2 844.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 2106.2 2106.15 2.4367 0.1281
## Rearing 1 144.5 144.53 0.1672 0.6852
## Housing 1 947.1 947.06 1.0957 0.3028
## PNN_count_IL_c:Rearing 1 17.4 17.45 0.0202 0.8879
## PNN_count_IL_c:Housing 1 1371.0 1370.99 1.5862 0.2167
## PNN_count_IL_c:Rearing:Housing 1 622.8 622.81 0.7206 0.4021
## Residuals 33 28522.9 864.33
##
## [[11]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 1027.7 1027.73 1.1546 0.2904
## Rearing 1 636.3 636.26 0.7148 0.4039
## Housing 1 887.7 887.71 0.9973 0.3252
## PNN_intensity_IL_c:Rearing 1 1382.0 1382.02 1.5526 0.2215
## PNN_intensity_IL_c:Housing 1 178.3 178.30 0.2003 0.6574
## PNN_intensity_IL_c:Rearing:Housing 1 245.9 245.94 0.2763 0.6027
## Residuals 33 29373.9 890.12
##
## [[12]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 1827.7 1827.73 1.9737 0.1694
## Rearing 1 195.8 195.78 0.2114 0.6487
## Housing 1 579.3 579.25 0.6255 0.4347
## PNN_pos_PV_count_IL_c:Rearing 1 6.5 6.46 0.0070 0.9339
## PNN_pos_PV_count_IL_c:Housing 1 185.5 185.51 0.2003 0.6574
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 378.0 377.98 0.4082 0.5273
## Residuals 33 30559.2 926.04
##
## [[13]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 21.5 21.5 0.0261 0.87263
## Rearing 1 1000.1 1000.1 1.2121 0.27888
## Housing 1 411.9 411.9 0.4992 0.48479
## PNN_pos_PV_intensity_IL_c:Rearing 1 206.9 206.9 0.2507 0.61990
## PNN_pos_PV_intensity_IL_c:Housing 1 4848.4 4848.4 5.8762 0.02099 *
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 15.0 15.0 0.0182 0.89347
## Residuals 33 27228.1 825.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[14]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 1430.5 1430.49 1.6438 0.2087
## Rearing 1 548.7 548.72 0.6306 0.4328
## Housing 1 915.1 915.12 1.0516 0.3126
## PV_pos_PNN_intensity_IL_c:Rearing 1 1097.6 1097.64 1.2613 0.2695
## PV_pos_PNN_intensity_IL_c:Housing 1 592.3 592.29 0.6806 0.4153
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 430.6 430.60 0.4948 0.4867
## Residuals 33 28717.1 870.21
Statistics for Male Subjects
Male - Crossings
# Returning summary, summ, and anova stats for every linear model in the malelm_crossings list
lapply(malelm_crossings, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.0594 -2.5594 -0.7135 0.9408 11.2186
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.84601 1.17044 1.577 0.1235
## PV_count_PL_c -0.12845 0.15262 -0.842 0.4055
## RearingMS 0.30195 1.25624 0.240 0.8114
## HousingSI 2.45982 1.26761 1.941 0.0602 .
## PV_count_PL_c:RearingMS 0.06577 0.21687 0.303 0.7634
## PV_count_PL_c:HousingSI 0.06754 0.19016 0.355 0.7245
## PV_count_PL_c:RearingMS:HousingSI -0.31566 0.26517 -1.190 0.2417
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.845 on 36 degrees of freedom
## Multiple R-squared: 0.326, Adjusted R-squared: 0.2136
## F-statistic: 2.902 on 6 and 36 DF, p-value: 0.02064
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.90, p = 0.02
## R² = 0.33
## Adj. R² = 0.21
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 1.85 1.17 1.58 0.12
## PV_count_PL_c -0.13 0.15 -0.84 0.41
## RearingMS 0.30 1.26 0.24 0.81
## HousingSI 2.46 1.27 1.94 0.06
## PV_count_PL_c:RearingMS 0.07 0.22 0.30 0.76
## PV_count_PL_c:HousingSI 0.07 0.19 0.36 0.72
## PV_count_PL_c:RearingMS:HousingSI -0.32 0.27 -1.19 0.24
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 126.76 126.762 8.5722 0.005885 **
## Rearing 1 0.01 0.012 0.0008 0.977494
## Housing 1 78.03 78.030 5.2767 0.027535 *
## PV_count_PL_c:Rearing 1 21.80 21.795 1.4739 0.232636
## PV_count_PL_c:Housing 1 9.91 9.910 0.6701 0.418390
## PV_count_PL_c:Rearing:Housing 1 20.95 20.955 1.4170 0.241682
## Residuals 36 532.35 14.788
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.7395 -2.5121 -0.5761 1.9778 10.7524
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.2573 1.1165 1.126 0.2676
## PV_intensity_PL_c 0.6901 2.6999 0.256 0.7997
## RearingMS 0.8274 1.2507 0.662 0.5124
## HousingSI 3.1522 1.2513 2.519 0.0163 *
## PV_intensity_PL_c:RearingMS -4.4928 3.7904 -1.185 0.2437
## PV_intensity_PL_c:HousingSI -2.4066 3.4890 -0.690 0.4948
## PV_intensity_PL_c:RearingMS:HousingSI 3.2646 4.7075 0.693 0.4925
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.044 on 36 degrees of freedom
## Multiple R-squared: 0.2545, Adjusted R-squared: 0.1303
## F-statistic: 2.049 on 6 and 36 DF, p-value: 0.08423
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.05, p = 0.08
## R² = 0.25
## Adj. R² = 0.13
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 1.26 1.12 1.13 0.27
## PV_intensity_PL_c 0.69 2.70 0.26 0.80
## RearingMS 0.83 1.25 0.66 0.51
## HousingSI 3.15 1.25 2.52 0.02
## PV_intensity_PL_c:RearingMS -4.49 3.79 -1.19 0.24
## PV_intensity_PL_c:HousingSI -2.41 3.49 -0.69 0.49
## PV_intensity_PL_c:RearingMS:HousingSI 3.26 4.71 0.69 0.49
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 74.38 74.377 4.5476 0.03986 *
## Rearing 1 2.92 2.919 0.1785 0.67519
## Housing 1 95.13 95.135 5.8168 0.02110 *
## PV_intensity_PL_c:Rearing 1 19.64 19.645 1.2011 0.28038
## PV_intensity_PL_c:Housing 1 1.09 1.086 0.0664 0.79808
## PV_intensity_PL_c:Rearing:Housing 1 7.87 7.866 0.4809 0.49246
## Residuals 36 588.79 16.355
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.368 -2.241 -1.018 1.203 11.685
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.41351 1.11268 1.270 0.2121
## PNN_count_PL_c 0.05833 0.16467 0.354 0.7252
## RearingMS 0.83258 1.25986 0.661 0.5129
## HousingSI 2.80525 1.25947 2.227 0.0323 *
## PNN_count_PL_c:RearingMS -0.07385 0.19420 -0.380 0.7060
## PNN_count_PL_c:HousingSI -0.07785 0.21470 -0.363 0.7190
## PNN_count_PL_c:RearingMS:HousingSI -0.21764 0.27986 -0.778 0.4419
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.098 on 36 degrees of freedom
## Multiple R-squared: 0.2346, Adjusted R-squared: 0.1071
## F-statistic: 1.839 on 6 and 36 DF, p-value: 0.1189
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.84, p = 0.12
## R² = 0.23
## Adj. R² = 0.11
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 1.41 1.11 1.27 0.21
## PNN_count_PL_c 0.06 0.16 0.35 0.73
## RearingMS 0.83 1.26 0.66 0.51
## HousingSI 2.81 1.26 2.23 0.03
## PNN_count_PL_c:RearingMS -0.07 0.19 -0.38 0.71
## PNN_count_PL_c:HousingSI -0.08 0.21 -0.36 0.72
## PNN_count_PL_c:RearingMS:HousingSI -0.22 0.28 -0.78 0.44
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 22.89 22.886 1.3629 0.25070
## Rearing 1 6.94 6.938 0.4132 0.52444
## Housing 1 92.82 92.822 5.5278 0.02431 *
## PNN_count_PL_c:Rearing 1 14.74 14.735 0.8775 0.35512
## PNN_count_PL_c:Housing 1 37.77 37.772 2.2494 0.14238
## PNN_count_PL_c:Rearing:Housing 1 10.15 10.155 0.6048 0.44185
## Residuals 36 604.51 16.792
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.1726 -2.8340 -0.6606 1.6282 10.9266
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.9509 1.1797 0.806 0.4255
## PNN_intensity_PL_c 1.6348 3.2344 0.505 0.6163
## RearingMS 1.3809 1.3605 1.015 0.3169
## HousingSI 3.5686 1.3553 2.633 0.0124 *
## PNN_intensity_PL_c:RearingMS -3.5439 5.2798 -0.671 0.5064
## PNN_intensity_PL_c:HousingSI -1.6134 4.4395 -0.363 0.7184
## PNN_intensity_PL_c:RearingMS:HousingSI 9.5654 7.6354 1.253 0.2184
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.236 on 36 degrees of freedom
## Multiple R-squared: 0.1822, Adjusted R-squared: 0.04589
## F-statistic: 1.337 on 6 and 36 DF, p-value: 0.2666
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.34, p = 0.27
## R² = 0.18
## Adj. R² = 0.05
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- ------- ------ -------- ------
## (Intercept) 0.95 1.18 0.81 0.43
## PNN_intensity_PL_c 1.63 3.23 0.51 0.62
## RearingMS 1.38 1.36 1.02 0.32
## HousingSI 3.57 1.36 2.63 0.01
## PNN_intensity_PL_c:RearingMS -3.54 5.28 -0.67 0.51
## PNN_intensity_PL_c:HousingSI -1.61 4.44 -0.36 0.72
## PNN_intensity_PL_c:RearingMS:HousingSI 9.57 7.64 1.25 0.22
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 0.61 0.609 0.0339 0.85487
## Rearing 1 8.95 8.945 0.4986 0.48467
## Housing 1 101.64 101.643 5.6650 0.02272 *
## PNN_intensity_PL_c:Rearing 1 0.70 0.705 0.0393 0.84402
## PNN_intensity_PL_c:Housing 1 3.84 3.838 0.2139 0.64652
## PNN_intensity_PL_c:Rearing:Housing 1 28.16 28.159 1.5694 0.21837
## Residuals 36 645.92 17.942
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.8281 -1.9661 -0.8929 1.3507 10.8336
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.25611 1.16332 1.080 0.2874
## PNN_pos_PV_count_PL_c 0.05588 0.24360 0.229 0.8199
## RearingMS 0.74851 1.29955 0.576 0.5682
## HousingSI 3.03520 1.30211 2.331 0.0255
## PNN_pos_PV_count_PL_c:RearingMS -0.22050 0.35217 -0.626 0.5352
## PNN_pos_PV_count_PL_c:HousingSI -0.05130 0.31986 -0.160 0.8735
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -0.23815 0.46957 -0.507 0.6151
##
## (Intercept)
## PNN_pos_PV_count_PL_c
## RearingMS
## HousingSI *
## PNN_pos_PV_count_PL_c:RearingMS
## PNN_pos_PV_count_PL_c:HousingSI
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.117 on 36 degrees of freedom
## Multiple R-squared: 0.2273, Adjusted R-squared: 0.09854
## F-statistic: 1.765 on 6 and 36 DF, p-value: 0.1342
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.77, p = 0.13
## R² = 0.23
## Adj. R² = 0.10
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 1.26 1.16 1.08 0.29
## PNN_pos_PV_count_PL_c 0.06 0.24 0.23 0.82
## RearingMS 0.75 1.30 0.58 0.57
## HousingSI 3.04 1.30 2.33 0.03
## PNN_pos_PV_count_PL_c:RearingMS -0.22 0.35 -0.63 0.54
## PNN_pos_PV_count_PL_c:HousingSI -0.05 0.32 -0.16 0.87
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -0.24 0.47 -0.51 0.62
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 29.85 29.847 1.7607 0.19290
## Rearing 1 3.00 3.003 0.1771 0.67636
## Housing 1 95.86 95.857 5.6546 0.02284 *
## PNN_pos_PV_count_PL_c:Rearing 1 37.69 37.688 2.2232 0.14466
## PNN_pos_PV_count_PL_c:Housing 1 8.79 8.786 0.5183 0.47623
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 4.36 4.360 0.2572 0.61514
## Residuals 36 610.28 16.952
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.6751 -2.4553 -0.5274 1.8331 10.9815
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.4044 1.1721 1.198
## PNN_pos_PV_intensity_PL_c -0.4814 2.3173 -0.208
## RearingMS 0.7434 1.2659 0.587
## HousingSI 3.0704 1.2691 2.419
## PNN_pos_PV_intensity_PL_c:RearingMS -1.5767 2.8591 -0.551
## PNN_pos_PV_intensity_PL_c:HousingSI -1.1777 2.7693 -0.425
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.7587 3.4905 0.217
## Pr(>|t|)
## (Intercept) 0.2387
## PNN_pos_PV_intensity_PL_c 0.8366
## RearingMS 0.5607
## HousingSI 0.0207 *
## PNN_pos_PV_intensity_PL_c:RearingMS 0.5847
## PNN_pos_PV_intensity_PL_c:HousingSI 0.6732
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.8292
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.01 on 36 degrees of freedom
## Multiple R-squared: 0.267, Adjusted R-squared: 0.1448
## F-statistic: 2.185 on 6 and 36 DF, p-value: 0.06716
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.19, p = 0.07
## R² = 0.27
## Adj. R² = 0.14
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 1.40 1.17 1.20 0.24
## PNN_pos_PV_intensity_PL_c -0.48 2.32 -0.21 0.84
## RearingMS 0.74 1.27 0.59 0.56
## HousingSI 3.07 1.27 2.42 0.02
## PNN_pos_PV_intensity_PL_c:RearingMS -1.58 2.86 -0.55 0.58
## PNN_pos_PV_intensity_PL_c:HousingSI -1.18 2.77 -0.43 0.67
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.76 3.49 0.22 0.83
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 109.90 109.903 6.8341 0.01298 *
## Rearing 1 1.32 1.317 0.0819 0.77638
## Housing 1 89.86 89.856 5.5875 0.02361 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 6.18 6.185 0.3846 0.53906
## PNN_pos_PV_intensity_PL_c:Housing 1 2.86 2.857 0.1777 0.67590
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 0.76 0.760 0.0472 0.82916
## Residuals 36 578.94 16.082
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.3185 -2.9049 -0.6454 1.7348 11.0066
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.028 1.188 0.865
## PV_pos_PNN_intensity_PL_c 1.740 3.031 0.574
## RearingMS 1.311 1.371 0.956
## HousingSI 3.422 1.366 2.505
## PV_pos_PNN_intensity_PL_c:RearingMS -3.575 4.919 -0.727
## PV_pos_PNN_intensity_PL_c:HousingSI -1.880 4.167 -0.451
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 7.142 7.131 1.002
## Pr(>|t|)
## (Intercept) 0.3928
## PV_pos_PNN_intensity_PL_c 0.5695
## RearingMS 0.3452
## HousingSI 0.0169 *
## PV_pos_PNN_intensity_PL_c:RearingMS 0.4721
## PV_pos_PNN_intensity_PL_c:HousingSI 0.6545
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.3233
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.288 on 36 degrees of freedom
## Multiple R-squared: 0.1618, Adjusted R-squared: 0.02215
## F-statistic: 1.159 on 6 and 36 DF, p-value: 0.3497
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.16, p = 0.35
## R² = 0.16
## Adj. R² = 0.02
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 1.03 1.19 0.86 0.39
## PV_pos_PNN_intensity_PL_c 1.74 3.03 0.57 0.57
## RearingMS 1.31 1.37 0.96 0.35
## HousingSI 3.42 1.37 2.51 0.02
## PV_pos_PNN_intensity_PL_c:RearingMS -3.57 4.92 -0.73 0.47
## PV_pos_PNN_intensity_PL_c:HousingSI -1.88 4.17 -0.45 0.65
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 7.14 7.13 1.00 0.32
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 0.01 0.010 0.0005 0.9817
## Rearing 1 7.98 7.975 0.4337 0.5144
## Housing 1 100.75 100.750 5.4790 0.0249 *
## PV_pos_PNN_intensity_PL_c:Rearing 1 0.11 0.106 0.0058 0.9399
## PV_pos_PNN_intensity_PL_c:Housing 1 0.54 0.542 0.0295 0.8647
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 18.44 18.445 1.0030 0.3233
## Residuals 36 661.99 18.389
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.330 -2.176 -1.153 1.336 11.924
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.10769 1.23427 1.708 0.0963 .
## PV_count_IL_c -0.11384 0.16235 -0.701 0.4877
## RearingMS -0.01906 1.34684 -0.014 0.9888
## HousingSI 1.96356 1.34664 1.458 0.1535
## PV_count_IL_c:RearingMS 0.12054 0.20548 0.587 0.5611
## PV_count_IL_c:HousingSI 0.07289 0.19477 0.374 0.7104
## PV_count_IL_c:RearingMS:HousingSI -0.35446 0.26573 -1.334 0.1906
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.046 on 36 degrees of freedom
## Multiple R-squared: 0.2537, Adjusted R-squared: 0.1293
## F-statistic: 2.04 on 6 and 36 DF, p-value: 0.08547
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.04, p = 0.09
## R² = 0.25
## Adj. R² = 0.13
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 2.11 1.23 1.71 0.10
## PV_count_IL_c -0.11 0.16 -0.70 0.49
## RearingMS -0.02 1.35 -0.01 0.99
## HousingSI 1.96 1.35 1.46 0.15
## PV_count_IL_c:RearingMS 0.12 0.21 0.59 0.56
## PV_count_IL_c:HousingSI 0.07 0.19 0.37 0.71
## PV_count_IL_c:RearingMS:HousingSI -0.35 0.27 -1.33 0.19
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 78.78 78.780 4.8115 0.03481 *
## Rearing 1 0.21 0.208 0.0127 0.91093
## Housing 1 68.03 68.028 4.1548 0.04891 *
## PV_count_IL_c:Rearing 1 7.02 7.025 0.4290 0.51662
## PV_count_IL_c:Housing 1 17.21 17.207 1.0509 0.31213
## PV_count_IL_c:Rearing:Housing 1 29.13 29.133 1.7793 0.19062
## Residuals 36 589.44 16.373
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.7774 -2.9407 -0.6665 1.7873 11.5702
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.3737 1.1786 1.166 0.2514
## PV_intensity_IL_c 0.5129 3.9381 0.130 0.8971
## RearingMS 1.1351 1.3266 0.856 0.3979
## HousingSI 2.9346 1.3268 2.212 0.0334 *
## PV_intensity_IL_c:RearingMS -3.9713 4.8936 -0.812 0.4224
## PV_intensity_IL_c:HousingSI -1.2108 4.6983 -0.258 0.7981
## PV_intensity_IL_c:RearingMS:HousingSI 3.7340 6.2238 0.600 0.5523
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.263 on 36 degrees of freedom
## Multiple R-squared: 0.1715, Adjusted R-squared: 0.03346
## F-statistic: 1.242 on 6 and 36 DF, p-value: 0.3082
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.24, p = 0.31
## R² = 0.17
## Adj. R² = 0.03
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 1.37 1.18 1.17 0.25
## PV_intensity_IL_c 0.51 3.94 0.13 0.90
## RearingMS 1.14 1.33 0.86 0.40
## HousingSI 2.93 1.33 2.21 0.03
## PV_intensity_IL_c:RearingMS -3.97 4.89 -0.81 0.42
## PV_intensity_IL_c:HousingSI -1.21 4.70 -0.26 0.80
## PV_intensity_IL_c:RearingMS:HousingSI 3.73 6.22 0.60 0.55
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 21.87 21.870 1.2032 0.27996
## Rearing 1 5.59 5.592 0.3077 0.58254
## Housing 1 93.11 93.105 5.1224 0.02975 *
## PV_intensity_IL_c:Rearing 1 6.76 6.764 0.3721 0.54568
## PV_intensity_IL_c:Housing 1 1.61 1.607 0.0884 0.76791
## PV_intensity_IL_c:Rearing:Housing 1 6.54 6.543 0.3600 0.55229
## Residuals 36 654.34 18.176
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.1389 -2.3194 -1.3113 0.9329 11.6828
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.3449948 1.1722974 1.147 0.2588
## PNN_count_IL_c 0.0017105 0.1250975 0.014 0.9892
## RearingMS 0.9745134 1.3179897 0.739 0.4645
## HousingSI 2.9511033 1.3181662 2.239 0.0314 *
## PNN_count_IL_c:RearingMS -0.0009826 0.1612604 -0.006 0.9952
## PNN_count_IL_c:HousingSI 0.0173456 0.1625464 0.107 0.9156
## PNN_count_IL_c:RearingMS:HousingSI -0.1850629 0.2459220 -0.753 0.4566
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.285 on 36 degrees of freedom
## Multiple R-squared: 0.1632, Adjusted R-squared: 0.0237
## F-statistic: 1.17 on 6 and 36 DF, p-value: 0.3439
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.17, p = 0.34
## R² = 0.16
## Adj. R² = 0.02
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 1.34 1.17 1.15 0.26
## PNN_count_IL_c 0.00 0.13 0.01 0.99
## RearingMS 0.97 1.32 0.74 0.46
## HousingSI 2.95 1.32 2.24 0.03
## PNN_count_IL_c:RearingMS -0.00 0.16 -0.01 1.00
## PNN_count_IL_c:HousingSI 0.02 0.16 0.11 0.92
## PNN_count_IL_c:RearingMS:HousingSI -0.19 0.25 -0.75 0.46
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 4.79 4.787 0.2608 0.61272
## Rearing 1 7.40 7.396 0.4029 0.52963
## Housing 1 95.88 95.878 5.2222 0.02829 *
## PNN_count_IL_c:Rearing 1 5.38 5.384 0.2933 0.59147
## PNN_count_IL_c:Housing 1 5.03 5.032 0.2741 0.60383
## PNN_count_IL_c:Rearing:Housing 1 10.40 10.397 0.5663 0.45663
## Residuals 36 660.94 18.360
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.751 -2.932 -0.823 1.678 10.042
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.9681 1.0940 0.885 0.38206
## PNN_intensity_IL_c 2.9141 3.3306 0.875 0.38741
## RearingMS 1.0196 1.2482 0.817 0.41940
## HousingSI 3.5363 1.2486 2.832 0.00752 **
## PNN_intensity_IL_c:RearingMS -8.8286 6.6272 -1.332 0.19117
## PNN_intensity_IL_c:HousingSI -2.1871 5.1976 -0.421 0.67641
## PNN_intensity_IL_c:RearingMS:HousingSI 17.9152 8.7578 2.046 0.04815 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.975 on 36 degrees of freedom
## Multiple R-squared: 0.2799, Adjusted R-squared: 0.1599
## F-statistic: 2.333 on 6 and 36 DF, p-value: 0.05264
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.33, p = 0.05
## R² = 0.28
## Adj. R² = 0.16
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- ------- ------ -------- ------
## (Intercept) 0.97 1.09 0.88 0.38
## PNN_intensity_IL_c 2.91 3.33 0.87 0.39
## RearingMS 1.02 1.25 0.82 0.42
## HousingSI 3.54 1.25 2.83 0.01
## PNN_intensity_IL_c:RearingMS -8.83 6.63 -1.33 0.19
## PNN_intensity_IL_c:HousingSI -2.19 5.20 -0.42 0.68
## PNN_intensity_IL_c:RearingMS:HousingSI 17.92 8.76 2.05 0.05
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 22.34 22.341 1.4142 0.24214
## Rearing 1 11.24 11.239 0.7114 0.40455
## Housing 1 101.40 101.401 6.4187 0.01579 *
## PNN_intensity_IL_c:Rearing 1 4.62 4.620 0.2924 0.59200
## PNN_intensity_IL_c:Housing 1 15.39 15.395 0.9745 0.33015
## PNN_intensity_IL_c:Rearing:Housing 1 66.11 66.106 4.1845 0.04815 *
## Residuals 36 568.72 15.798
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.4543 -2.2603 -0.8768 0.8770 11.4881
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.28130 1.23223 1.040 0.3054
## PNN_pos_PV_count_IL_c 0.04948 0.29821 0.166 0.8691
## RearingMS 0.94097 1.35947 0.692 0.4933
## HousingSI 2.99496 1.36105 2.200 0.0343
## PNN_pos_PV_count_IL_c:RearingMS -0.13203 0.40018 -0.330 0.7434
## PNN_pos_PV_count_IL_c:HousingSI 0.03193 0.36777 0.087 0.9313
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.18839 0.56235 -0.335 0.7396
##
## (Intercept)
## PNN_pos_PV_count_IL_c
## RearingMS
## HousingSI *
## PNN_pos_PV_count_IL_c:RearingMS
## PNN_pos_PV_count_IL_c:HousingSI
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.309 on 36 degrees of freedom
## Multiple R-squared: 0.1536, Adjusted R-squared: 0.01257
## F-statistic: 1.089 on 6 and 36 DF, p-value: 0.3875
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.09, p = 0.39
## R² = 0.15
## Adj. R² = 0.01
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 1.28 1.23 1.04 0.31
## PNN_pos_PV_count_IL_c 0.05 0.30 0.17 0.87
## RearingMS 0.94 1.36 0.69 0.49
## HousingSI 2.99 1.36 2.20 0.03
## PNN_pos_PV_count_IL_c:RearingMS -0.13 0.40 -0.33 0.74
## PNN_pos_PV_count_IL_c:HousingSI 0.03 0.37 0.09 0.93
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.19 0.56 -0.34 0.74
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 3.92 3.922 0.2112 0.64860
## Rearing 1 6.21 6.206 0.3342 0.56680
## Housing 1 96.65 96.652 5.2050 0.02854 *
## PNN_pos_PV_count_IL_c:Rearing 1 11.82 11.823 0.6367 0.43013
## PNN_pos_PV_count_IL_c:Housing 1 0.65 0.652 0.0351 0.85236
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 2.08 2.084 0.1122 0.73956
## Residuals 36 668.48 18.569
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.6379 -2.9383 -0.6187 1.7849 11.7189
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.4307 1.1760 1.217
## PNN_pos_PV_intensity_IL_c -0.5407 3.4488 -0.157
## RearingMS 1.0528 1.3185 0.798
## HousingSI 2.9014 1.3186 2.200
## PNN_pos_PV_intensity_IL_c:RearingMS -2.0166 3.9828 -0.506
## PNN_pos_PV_intensity_IL_c:HousingSI -0.8779 4.2365 -0.207
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 2.6592 5.3166 0.500
## Pr(>|t|)
## (Intercept) 0.2317
## PNN_pos_PV_intensity_IL_c 0.8763
## RearingMS 0.4298
## HousingSI 0.0343 *
## PNN_pos_PV_intensity_IL_c:RearingMS 0.6157
## PNN_pos_PV_intensity_IL_c:HousingSI 0.8370
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.6200
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.237 on 36 degrees of freedom
## Multiple R-squared: 0.1817, Adjusted R-squared: 0.0453
## F-statistic: 1.332 on 6 and 36 DF, p-value: 0.2684
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.33, p = 0.27
## R² = 0.18
## Adj. R² = 0.05
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 1.43 1.18 1.22 0.23
## PNN_pos_PV_intensity_IL_c -0.54 3.45 -0.16 0.88
## RearingMS 1.05 1.32 0.80 0.43
## HousingSI 2.90 1.32 2.20 0.03
## PNN_pos_PV_intensity_IL_c:RearingMS -2.02 3.98 -0.51 0.62
## PNN_pos_PV_intensity_IL_c:HousingSI -0.88 4.24 -0.21 0.84
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 2.66 5.32 0.50 0.62
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 45.39 45.392 2.5283 0.12056
## Rearing 1 5.08 5.079 0.2829 0.59808
## Housing 1 85.23 85.229 4.7473 0.03597 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 1.44 1.436 0.0800 0.77894
## PNN_pos_PV_intensity_IL_c:Housing 1 1.87 1.873 0.1043 0.74858
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 4.49 4.491 0.2502 0.62000
## Residuals 36 646.32 17.953
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3161 -2.6239 -0.7814 1.8544 10.3988
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.075 1.100 0.978
## PV_pos_PNN_intensity_IL_c 2.550 2.893 0.882
## RearingMS 1.289 1.249 1.032
## HousingSI 3.294 1.249 2.637
## PV_pos_PNN_intensity_IL_c:RearingMS -6.199 4.919 -1.260
## PV_pos_PNN_intensity_IL_c:HousingSI -3.239 4.305 -0.752
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 13.691 6.681 2.049
## Pr(>|t|)
## (Intercept) 0.3347
## PV_pos_PNN_intensity_IL_c 0.3838
## RearingMS 0.3089
## HousingSI 0.0123 *
## PV_pos_PNN_intensity_IL_c:RearingMS 0.2157
## PV_pos_PNN_intensity_IL_c:HousingSI 0.4568
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.0478 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.033 on 36 degrees of freedom
## Multiple R-squared: 0.2588, Adjusted R-squared: 0.1353
## F-statistic: 2.095 on 6 and 36 DF, p-value: 0.07799
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: crossings
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.10, p = 0.08
## R² = 0.26
## Adj. R² = 0.14
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 1.08 1.10 0.98 0.33
## PV_pos_PNN_intensity_IL_c 2.55 2.89 0.88 0.38
## RearingMS 1.29 1.25 1.03 0.31
## HousingSI 3.29 1.25 2.64 0.01
## PV_pos_PNN_intensity_IL_c:RearingMS -6.20 4.92 -1.26 0.22
## PV_pos_PNN_intensity_IL_c:HousingSI -3.24 4.31 -0.75 0.46
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 13.69 6.68 2.05 0.05
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 9.28 9.281 0.5707 0.45488
## Rearing 1 8.07 8.068 0.4962 0.48572
## Housing 1 106.46 106.459 6.5468 0.01486 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 3.66 3.657 0.2249 0.63822
## PV_pos_PNN_intensity_IL_c:Housing 1 8.67 8.666 0.5329 0.47011
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 68.28 68.283 4.1991 0.04779 *
## Residuals 36 585.40 16.261
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [[1]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 126.76 126.762 8.5722 0.005885 **
## Rearing 1 0.01 0.012 0.0008 0.977494
## Housing 1 78.03 78.030 5.2767 0.027535 *
## PV_count_PL_c:Rearing 1 21.80 21.795 1.4739 0.232636
## PV_count_PL_c:Housing 1 9.91 9.910 0.6701 0.418390
## PV_count_PL_c:Rearing:Housing 1 20.95 20.955 1.4170 0.241682
## Residuals 36 532.35 14.788
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[2]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 74.38 74.377 4.5476 0.03986 *
## Rearing 1 2.92 2.919 0.1785 0.67519
## Housing 1 95.13 95.135 5.8168 0.02110 *
## PV_intensity_PL_c:Rearing 1 19.64 19.645 1.2011 0.28038
## PV_intensity_PL_c:Housing 1 1.09 1.086 0.0664 0.79808
## PV_intensity_PL_c:Rearing:Housing 1 7.87 7.866 0.4809 0.49246
## Residuals 36 588.79 16.355
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[3]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 22.89 22.886 1.3629 0.25070
## Rearing 1 6.94 6.938 0.4132 0.52444
## Housing 1 92.82 92.822 5.5278 0.02431 *
## PNN_count_PL_c:Rearing 1 14.74 14.735 0.8775 0.35512
## PNN_count_PL_c:Housing 1 37.77 37.772 2.2494 0.14238
## PNN_count_PL_c:Rearing:Housing 1 10.15 10.155 0.6048 0.44185
## Residuals 36 604.51 16.792
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 0.61 0.609 0.0339 0.85487
## Rearing 1 8.95 8.945 0.4986 0.48467
## Housing 1 101.64 101.643 5.6650 0.02272 *
## PNN_intensity_PL_c:Rearing 1 0.70 0.705 0.0393 0.84402
## PNN_intensity_PL_c:Housing 1 3.84 3.838 0.2139 0.64652
## PNN_intensity_PL_c:Rearing:Housing 1 28.16 28.159 1.5694 0.21837
## Residuals 36 645.92 17.942
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[5]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 29.85 29.847 1.7607 0.19290
## Rearing 1 3.00 3.003 0.1771 0.67636
## Housing 1 95.86 95.857 5.6546 0.02284 *
## PNN_pos_PV_count_PL_c:Rearing 1 37.69 37.688 2.2232 0.14466
## PNN_pos_PV_count_PL_c:Housing 1 8.79 8.786 0.5183 0.47623
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 4.36 4.360 0.2572 0.61514
## Residuals 36 610.28 16.952
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 109.90 109.903 6.8341 0.01298 *
## Rearing 1 1.32 1.317 0.0819 0.77638
## Housing 1 89.86 89.856 5.5875 0.02361 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 6.18 6.185 0.3846 0.53906
## PNN_pos_PV_intensity_PL_c:Housing 1 2.86 2.857 0.1777 0.67590
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 0.76 0.760 0.0472 0.82916
## Residuals 36 578.94 16.082
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[7]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 0.01 0.010 0.0005 0.9817
## Rearing 1 7.98 7.975 0.4337 0.5144
## Housing 1 100.75 100.750 5.4790 0.0249 *
## PV_pos_PNN_intensity_PL_c:Rearing 1 0.11 0.106 0.0058 0.9399
## PV_pos_PNN_intensity_PL_c:Housing 1 0.54 0.542 0.0295 0.8647
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 18.44 18.445 1.0030 0.3233
## Residuals 36 661.99 18.389
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[8]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 78.78 78.780 4.8115 0.03481 *
## Rearing 1 0.21 0.208 0.0127 0.91093
## Housing 1 68.03 68.028 4.1548 0.04891 *
## PV_count_IL_c:Rearing 1 7.02 7.025 0.4290 0.51662
## PV_count_IL_c:Housing 1 17.21 17.207 1.0509 0.31213
## PV_count_IL_c:Rearing:Housing 1 29.13 29.133 1.7793 0.19062
## Residuals 36 589.44 16.373
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[9]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 21.87 21.870 1.2032 0.27996
## Rearing 1 5.59 5.592 0.3077 0.58254
## Housing 1 93.11 93.105 5.1224 0.02975 *
## PV_intensity_IL_c:Rearing 1 6.76 6.764 0.3721 0.54568
## PV_intensity_IL_c:Housing 1 1.61 1.607 0.0884 0.76791
## PV_intensity_IL_c:Rearing:Housing 1 6.54 6.543 0.3600 0.55229
## Residuals 36 654.34 18.176
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 4.79 4.787 0.2608 0.61272
## Rearing 1 7.40 7.396 0.4029 0.52963
## Housing 1 95.88 95.878 5.2222 0.02829 *
## PNN_count_IL_c:Rearing 1 5.38 5.384 0.2933 0.59147
## PNN_count_IL_c:Housing 1 5.03 5.032 0.2741 0.60383
## PNN_count_IL_c:Rearing:Housing 1 10.40 10.397 0.5663 0.45663
## Residuals 36 660.94 18.360
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[11]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 22.34 22.341 1.4142 0.24214
## Rearing 1 11.24 11.239 0.7114 0.40455
## Housing 1 101.40 101.401 6.4187 0.01579 *
## PNN_intensity_IL_c:Rearing 1 4.62 4.620 0.2924 0.59200
## PNN_intensity_IL_c:Housing 1 15.39 15.395 0.9745 0.33015
## PNN_intensity_IL_c:Rearing:Housing 1 66.11 66.106 4.1845 0.04815 *
## Residuals 36 568.72 15.798
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[12]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 3.92 3.922 0.2112 0.64860
## Rearing 1 6.21 6.206 0.3342 0.56680
## Housing 1 96.65 96.652 5.2050 0.02854 *
## PNN_pos_PV_count_IL_c:Rearing 1 11.82 11.823 0.6367 0.43013
## PNN_pos_PV_count_IL_c:Housing 1 0.65 0.652 0.0351 0.85236
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 2.08 2.084 0.1122 0.73956
## Residuals 36 668.48 18.569
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[13]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 45.39 45.392 2.5283 0.12056
## Rearing 1 5.08 5.079 0.2829 0.59808
## Housing 1 85.23 85.229 4.7473 0.03597 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 1.44 1.436 0.0800 0.77894
## PNN_pos_PV_intensity_IL_c:Housing 1 1.87 1.873 0.1043 0.74858
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 4.49 4.491 0.2502 0.62000
## Residuals 36 646.32 17.953
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[14]]
## Analysis of Variance Table
##
## Response: crossings
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 9.28 9.281 0.5707 0.45488
## Rearing 1 8.07 8.068 0.4962 0.48572
## Housing 1 106.46 106.459 6.5468 0.01486 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 3.66 3.657 0.2249 0.63822
## PV_pos_PNN_intensity_IL_c:Housing 1 8.67 8.666 0.5329 0.47011
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 68.28 68.283 4.1991 0.04779 *
## Residuals 36 585.40 16.261
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Male - Frequency in the open
# Returning summary, summ, and anova stats for every linear model in the malelm_freq_open list
lapply(malelm_freq_open, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.1044 -2.9985 -0.1653 1.4570 12.3250
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.73473 1.23292 3.029 0.00452 **
## PV_count_PL_c -0.12592 0.16077 -0.783 0.43860
## RearingMS -0.08382 1.32331 -0.063 0.94984
## HousingSI 1.74216 1.33528 1.305 0.20027
## PV_count_PL_c:RearingMS 0.12354 0.22845 0.541 0.59198
## PV_count_PL_c:HousingSI 0.07043 0.20031 0.352 0.72717
## PV_count_PL_c:RearingMS:HousingSI -0.22215 0.27933 -0.795 0.43165
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.051 on 36 degrees of freedom
## Multiple R-squared: 0.1447, Adjusted R-squared: 0.002094
## F-statistic: 1.015 on 6 and 36 DF, p-value: 0.4313
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.01, p = 0.43
## R² = 0.14
## Adj. R² = 0.00
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 3.73 1.23 3.03 0.00
## PV_count_PL_c -0.13 0.16 -0.78 0.44
## RearingMS -0.08 1.32 -0.06 0.95
## HousingSI 1.74 1.34 1.30 0.20
## PV_count_PL_c:RearingMS 0.12 0.23 0.54 0.59
## PV_count_PL_c:HousingSI 0.07 0.20 0.35 0.73
## PV_count_PL_c:RearingMS:HousingSI -0.22 0.28 -0.80 0.43
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 41.33 41.334 2.5191 0.1212
## Rearing 1 0.76 0.760 0.0463 0.8308
## Housing 1 44.40 44.401 2.7060 0.1087
## PV_count_PL_c:Rearing 1 0.73 0.734 0.0447 0.8337
## PV_count_PL_c:Housing 1 2.29 2.289 0.1395 0.7109
## PV_count_PL_c:Rearing:Housing 1 10.38 10.378 0.6325 0.4317
## Residuals 36 590.71 16.409
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.390 -2.658 -0.658 1.949 10.617
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.1283 1.1078 2.824 0.00768 **
## PV_intensity_PL_c 1.5098 2.6788 0.564 0.57651
## RearingMS 0.2261 1.2408 0.182 0.85642
## HousingSI 2.4350 1.2414 1.961 0.05760 .
## PV_intensity_PL_c:RearingMS -4.5679 3.7606 -1.215 0.23240
## PV_intensity_PL_c:HousingSI -3.8203 3.4616 -1.104 0.27708
## PV_intensity_PL_c:RearingMS:HousingSI 5.3982 4.6705 1.156 0.25537
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.012 on 36 degrees of freedom
## Multiple R-squared: 0.1608, Adjusted R-squared: 0.02089
## F-statistic: 1.149 on 6 and 36 DF, p-value: 0.3546
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.15, p = 0.35
## R² = 0.16
## Adj. R² = 0.02
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.13 1.11 2.82 0.01
## PV_intensity_PL_c 1.51 2.68 0.56 0.58
## RearingMS 0.23 1.24 0.18 0.86
## HousingSI 2.43 1.24 1.96 0.06
## PV_intensity_PL_c:RearingMS -4.57 3.76 -1.21 0.23
## PV_intensity_PL_c:HousingSI -3.82 3.46 -1.10 0.28
## PV_intensity_PL_c:RearingMS:HousingSI 5.40 4.67 1.16 0.26
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 31.31 31.307 1.9446 0.17172
## Rearing 1 0.00 0.001 0.0000 0.99487
## Housing 1 51.65 51.654 3.2084 0.08167 .
## PV_intensity_PL_c:Rearing 1 4.46 4.464 0.2773 0.60173
## PV_intensity_PL_c:Housing 1 2.09 2.090 0.1298 0.72075
## PV_intensity_PL_c:Rearing:Housing 1 21.51 21.507 1.3359 0.25537
## Residuals 36 579.58 16.100
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3811 -2.4790 -0.4023 1.0090 12.7625
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.2393886 1.1171349 2.900 0.00633 **
## PNN_count_PL_c 0.1050197 0.1653258 0.635 0.52930
## RearingMS 0.2723783 1.2649111 0.215 0.83072
## HousingSI 2.1975912 1.2645150 1.738 0.09078 .
## PNN_count_PL_c:RearingMS -0.0433671 0.1949782 -0.222 0.82524
## PNN_count_PL_c:HousingSI -0.1757417 0.2155582 -0.815 0.42027
## PNN_count_PL_c:RearingMS:HousingSI 0.0002922 0.2809830 0.001 0.99918
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.114 on 36 degrees of freedom
## Multiple R-squared: 0.1176, Adjusted R-squared: -0.02942
## F-statistic: 0.7999 on 6 and 36 DF, p-value: 0.5764
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.80, p = 0.58
## R² = 0.12
## Adj. R² = -0.03
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 3.24 1.12 2.90 0.01
## PNN_count_PL_c 0.11 0.17 0.64 0.53
## RearingMS 0.27 1.26 0.22 0.83
## HousingSI 2.20 1.26 1.74 0.09
## PNN_count_PL_c:RearingMS -0.04 0.19 -0.22 0.83
## PNN_count_PL_c:HousingSI -0.18 0.22 -0.82 0.42
## PNN_count_PL_c:RearingMS:HousingSI 0.00 0.28 0.00 1.00
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 0.12 0.124 0.0073 0.93218
## Rearing 1 0.47 0.466 0.0276 0.86909
## Housing 1 53.25 53.245 3.1456 0.08459 .
## PNN_count_PL_c:Rearing 1 0.00 0.002 0.0001 0.99170
## PNN_count_PL_c:Housing 1 27.40 27.404 1.6190 0.21139
## PNN_count_PL_c:Rearing:Housing 1 0.00 0.000 0.0000 0.99918
## Residuals 36 609.36 16.927
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.821 -2.253 -1.119 2.569 11.745
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.8756 1.1415 2.519 0.0163 *
## PNN_intensity_PL_c 2.8819 3.1297 0.921 0.3633
## RearingMS 0.6099 1.3164 0.463 0.6459
## HousingSI 2.7135 1.3114 2.069 0.0458 *
## PNN_intensity_PL_c:RearingMS -4.8616 5.1089 -0.952 0.3476
## PNN_intensity_PL_c:HousingSI -2.7798 4.2958 -0.647 0.5217
## PNN_intensity_PL_c:RearingMS:HousingSI 8.9504 7.3882 1.211 0.2336
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.099 on 36 degrees of freedom
## Multiple R-squared: 0.1243, Adjusted R-squared: -0.02167
## F-statistic: 0.8515 on 6 and 36 DF, p-value: 0.5393
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.85, p = 0.54
## R² = 0.12
## Adj. R² = -0.02
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- ------- ------ -------- ------
## (Intercept) 2.88 1.14 2.52 0.02
## PNN_intensity_PL_c 2.88 3.13 0.92 0.36
## RearingMS 0.61 1.32 0.46 0.65
## HousingSI 2.71 1.31 2.07 0.05
## PNN_intensity_PL_c:RearingMS -4.86 5.11 -0.95 0.35
## PNN_intensity_PL_c:HousingSI -2.78 4.30 -0.65 0.52
## PNN_intensity_PL_c:RearingMS:HousingSI 8.95 7.39 1.21 0.23
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 3.14 3.137 0.1867 0.66823
## Rearing 1 1.05 1.050 0.0625 0.80401
## Housing 1 56.29 56.290 3.3507 0.07546 .
## PNN_intensity_PL_c:Rearing 1 0.59 0.589 0.0351 0.85248
## PNN_intensity_PL_c:Housing 1 0.11 0.112 0.0066 0.93547
## PNN_intensity_PL_c:Rearing:Housing 1 24.65 24.654 1.4676 0.23362
## Residuals 36 604.77 16.799
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.6393 -2.3222 -0.6055 1.2681 12.2821
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.11625 1.17552 2.651 0.0119
## PNN_pos_PV_count_PL_c 0.11638 0.24616 0.473 0.6392
## RearingMS 0.35125 1.31318 0.267 0.7906
## HousingSI 2.29720 1.31577 1.746 0.0894
## PNN_pos_PV_count_PL_c:RearingMS -0.15186 0.35586 -0.427 0.6721
## PNN_pos_PV_count_PL_c:HousingSI -0.16965 0.32322 -0.525 0.6029
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI 0.04352 0.47450 0.092 0.9274
##
## (Intercept) *
## PNN_pos_PV_count_PL_c
## RearingMS
## HousingSI .
## PNN_pos_PV_count_PL_c:RearingMS
## PNN_pos_PV_count_PL_c:HousingSI
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.16 on 36 degrees of freedom
## Multiple R-squared: 0.09769, Adjusted R-squared: -0.0527
## F-statistic: 0.6496 on 6 and 36 DF, p-value: 0.6901
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.65, p = 0.69
## R² = 0.10
## Adj. R² = -0.05
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.12 1.18 2.65 0.01
## PNN_pos_PV_count_PL_c 0.12 0.25 0.47 0.64
## RearingMS 0.35 1.31 0.27 0.79
## HousingSI 2.30 1.32 1.75 0.09
## PNN_pos_PV_count_PL_c:RearingMS -0.15 0.36 -0.43 0.67
## PNN_pos_PV_count_PL_c:HousingSI -0.17 0.32 -0.52 0.60
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI 0.04 0.47 0.09 0.93
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 2.66 2.662 0.1538 0.69728
## Rearing 1 0.14 0.138 0.0080 0.92927
## Housing 1 52.75 52.746 3.0472 0.08941 .
## PNN_pos_PV_count_PL_c:Rearing 1 4.59 4.587 0.2650 0.60987
## PNN_pos_PV_count_PL_c:Housing 1 7.19 7.186 0.4151 0.52345
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 0.15 0.146 0.0084 0.92743
## Residuals 36 623.14 17.309
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.869 -2.391 -1.004 1.598 11.135
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 3.3156 1.1640 2.848
## PNN_pos_PV_intensity_PL_c -0.2855 2.3012 -0.124
## RearingMS 0.1185 1.2570 0.094
## HousingSI 2.2967 1.2602 1.822
## PNN_pos_PV_intensity_PL_c:RearingMS -1.1603 2.8392 -0.409
## PNN_pos_PV_intensity_PL_c:HousingSI -1.6649 2.7500 -0.605
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 1.4320 3.4662 0.413
## Pr(>|t|)
## (Intercept) 0.00722 **
## PNN_pos_PV_intensity_PL_c 0.90196
## RearingMS 0.92544
## HousingSI 0.07671 .
## PNN_pos_PV_intensity_PL_c:RearingMS 0.68519
## PNN_pos_PV_intensity_PL_c:HousingSI 0.54869
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.68196
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.982 on 36 degrees of freedom
## Multiple R-squared: 0.1733, Adjusted R-squared: 0.03555
## F-statistic: 1.258 on 6 and 36 DF, p-value: 0.301
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.26, p = 0.30
## R² = 0.17
## Adj. R² = 0.04
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.32 1.16 2.85 0.01
## PNN_pos_PV_intensity_PL_c -0.29 2.30 -0.12 0.90
## RearingMS 0.12 1.26 0.09 0.93
## HousingSI 2.30 1.26 1.82 0.08
## PNN_pos_PV_intensity_PL_c:RearingMS -1.16 2.84 -0.41 0.69
## PNN_pos_PV_intensity_PL_c:HousingSI -1.66 2.75 -0.61 0.55
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 1.43 3.47 0.41 0.68
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 64.89 64.890 4.0918 0.05057 .
## Rearing 1 0.36 0.357 0.0225 0.88152
## Housing 1 48.27 48.266 3.0436 0.08959 .
## PNN_pos_PV_intensity_PL_c:Rearing 1 0.13 0.127 0.0080 0.92912
## PNN_pos_PV_intensity_PL_c:Housing 1 3.35 3.351 0.2113 0.64851
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 2.71 2.707 0.1707 0.68196
## Residuals 36 570.91 15.858
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.2314 -2.4924 -0.8053 2.3948 12.0637
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.9519 1.1427 2.583
## PV_pos_PNN_intensity_PL_c 2.8670 2.9138 0.984
## RearingMS 0.6423 1.3180 0.487
## HousingSI 2.5799 1.3135 1.964
## PV_pos_PNN_intensity_PL_c:RearingMS -3.8265 4.7293 -0.809
## PV_pos_PNN_intensity_PL_c:HousingSI -2.9918 4.0067 -0.747
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 6.7789 6.8561 0.989
## Pr(>|t|)
## (Intercept) 0.0140 *
## PV_pos_PNN_intensity_PL_c 0.3317
## RearingMS 0.6290
## HousingSI 0.0573 .
## PV_pos_PNN_intensity_PL_c:RearingMS 0.4238
## PV_pos_PNN_intensity_PL_c:HousingSI 0.4601
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.3294
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.123 on 36 degrees of freedom
## Multiple R-squared: 0.1139, Adjusted R-squared: -0.03378
## F-statistic: 0.7713 on 6 and 36 DF, p-value: 0.5975
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.77, p = 0.60
## R² = 0.11
## Adj. R² = -0.03
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 2.95 1.14 2.58 0.01
## PV_pos_PNN_intensity_PL_c 2.87 2.91 0.98 0.33
## RearingMS 0.64 1.32 0.49 0.63
## HousingSI 2.58 1.31 1.96 0.06
## PV_pos_PNN_intensity_PL_c:RearingMS -3.83 4.73 -0.81 0.42
## PV_pos_PNN_intensity_PL_c:HousingSI -2.99 4.01 -0.75 0.46
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 6.78 6.86 0.99 0.33
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 2.70 2.703 0.1590 0.69241
## Rearing 1 0.92 0.921 0.0542 0.81730
## Housing 1 57.24 57.236 3.3671 0.07478 .
## PV_pos_PNN_intensity_PL_c:Rearing 1 0.48 0.483 0.0284 0.86708
## PV_pos_PNN_intensity_PL_c:Housing 1 0.70 0.702 0.0413 0.84007
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 16.62 16.618 0.9776 0.32939
## Residuals 36 611.94 16.998
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.701 -2.972 -1.049 1.437 12.622
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.86819 1.23328 3.137 0.0034 **
## PV_count_IL_c -0.09834 0.16222 -0.606 0.5482
## RearingMS -0.35228 1.34576 -0.262 0.7950
## HousingSI 1.43036 1.34556 1.063 0.2949
## PV_count_IL_c:RearingMS 0.16897 0.20531 0.823 0.4159
## PV_count_IL_c:HousingSI 0.07203 0.19462 0.370 0.7135
## PV_count_IL_c:RearingMS:HousingSI -0.32358 0.26552 -1.219 0.2309
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.043 on 36 degrees of freedom
## Multiple R-squared: 0.1479, Adjusted R-squared: 0.005836
## F-statistic: 1.041 on 6 and 36 DF, p-value: 0.4154
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.04, p = 0.42
## R² = 0.15
## Adj. R² = 0.01
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 3.87 1.23 3.14 0.00
## PV_count_IL_c -0.10 0.16 -0.61 0.55
## RearingMS -0.35 1.35 -0.26 0.79
## HousingSI 1.43 1.35 1.06 0.29
## PV_count_IL_c:RearingMS 0.17 0.21 0.82 0.42
## PV_count_IL_c:HousingSI 0.07 0.19 0.37 0.71
## PV_count_IL_c:RearingMS:HousingSI -0.32 0.27 -1.22 0.23
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 23.45 23.448 1.4344 0.2389
## Rearing 1 0.38 0.382 0.0234 0.8793
## Housing 1 40.74 40.735 2.4919 0.1232
## PV_count_IL_c:Rearing 1 0.25 0.252 0.0154 0.9018
## PV_count_IL_c:Housing 1 13.02 13.017 0.7963 0.3781
## PV_count_IL_c:Rearing:Housing 1 24.28 24.278 1.4852 0.2309
## Residuals 36 588.49 16.347
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.9623 -2.8479 -0.6061 2.1068 11.3158
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.205 1.146 2.797 0.00823 **
## PV_intensity_IL_c 1.859 3.829 0.486 0.63021
## RearingMS 0.456 1.290 0.354 0.72573
## HousingSI 2.292 1.290 1.777 0.08405 .
## PV_intensity_IL_c:RearingMS -4.034 4.758 -0.848 0.40221
## PV_intensity_IL_c:HousingSI -3.057 4.568 -0.669 0.50765
## PV_intensity_IL_c:RearingMS:HousingSI 5.374 6.052 0.888 0.38038
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.145 on 36 degrees of freedom
## Multiple R-squared: 0.1042, Adjusted R-squared: -0.04509
## F-statistic: 0.698 on 6 and 36 DF, p-value: 0.6529
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.70, p = 0.65
## R² = 0.10
## Adj. R² = -0.05
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.21 1.15 2.80 0.01
## PV_intensity_IL_c 1.86 3.83 0.49 0.63
## RearingMS 0.46 1.29 0.35 0.73
## HousingSI 2.29 1.29 1.78 0.08
## PV_intensity_IL_c:RearingMS -4.03 4.76 -0.85 0.40
## PV_intensity_IL_c:HousingSI -3.06 4.57 -0.67 0.51
## PV_intensity_IL_c:RearingMS:HousingSI 5.37 6.05 0.89 0.38
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 5.93 5.927 0.3449 0.5607
## Rearing 1 0.21 0.214 0.0124 0.9118
## Housing 1 51.23 51.232 2.9813 0.0928 .
## PV_intensity_IL_c:Rearing 1 1.04 1.042 0.0607 0.8069
## PV_intensity_IL_c:Housing 1 0.00 0.000 0.0000 0.9987
## PV_intensity_IL_c:Rearing:Housing 1 13.55 13.554 0.7887 0.3804
## Residuals 36 618.64 17.184
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.3726 -2.3054 -0.7289 1.3811 12.7196
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.20830 1.13777 2.820 0.00776 **
## PNN_count_IL_c 0.02097 0.12141 0.173 0.86385
## RearingMS 0.33474 1.27917 0.262 0.79505
## HousingSI 2.25279 1.27934 1.761 0.08675 .
## PNN_count_IL_c:RearingMS 0.06141 0.15651 0.392 0.69708
## PNN_count_IL_c:HousingSI -0.02731 0.15776 -0.173 0.86355
## PNN_count_IL_c:RearingMS:HousingSI -0.10136 0.23868 -0.425 0.67361
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.159 on 36 degrees of freedom
## Multiple R-squared: 0.0985, Adjusted R-squared: -0.05175
## F-statistic: 0.6556 on 6 and 36 DF, p-value: 0.6855
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.66, p = 0.69
## R² = 0.10
## Adj. R² = -0.05
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 3.21 1.14 2.82 0.01
## PNN_count_IL_c 0.02 0.12 0.17 0.86
## RearingMS 0.33 1.28 0.26 0.80
## HousingSI 2.25 1.28 1.76 0.09
## PNN_count_IL_c:RearingMS 0.06 0.16 0.39 0.70
## PNN_count_IL_c:HousingSI -0.03 0.16 -0.17 0.86
## PNN_count_IL_c:RearingMS:HousingSI -0.10 0.24 -0.42 0.67
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 1.09 1.095 0.0633 0.80277
## Rearing 1 0.54 0.545 0.0315 0.86011
## Housing 1 54.95 54.954 3.1777 0.08309 .
## PNN_count_IL_c:Rearing 1 1.94 1.943 0.1124 0.73942
## PNN_count_IL_c:Housing 1 6.37 6.372 0.3684 0.54766
## PNN_count_IL_c:Rearing:Housing 1 3.12 3.119 0.1803 0.67361
## Residuals 36 622.58 17.294
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.715 -1.948 -1.162 2.232 10.868
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.881 1.079 2.669 0.0113 *
## PNN_intensity_IL_c 4.093 3.286 1.246 0.2209
## RearingMS 0.320 1.232 0.260 0.7964
## HousingSI 2.712 1.232 2.202 0.0342 *
## PNN_intensity_IL_c:RearingMS -9.887 6.538 -1.512 0.1392
## PNN_intensity_IL_c:HousingSI -3.737 5.128 -0.729 0.4709
## PNN_intensity_IL_c:RearingMS:HousingSI 16.521 8.641 1.912 0.0639 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.921 on 36 degrees of freedom
## Multiple R-squared: 0.1984, Adjusted R-squared: 0.06477
## F-statistic: 1.485 on 6 and 36 DF, p-value: 0.2111
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.48, p = 0.21
## R² = 0.20
## Adj. R² = 0.06
##
## Standard errors: OLS
## ---------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- ------- ------ -------- ------
## (Intercept) 2.88 1.08 2.67 0.01
## PNN_intensity_IL_c 4.09 3.29 1.25 0.22
## RearingMS 0.32 1.23 0.26 0.80
## HousingSI 2.71 1.23 2.20 0.03
## PNN_intensity_IL_c:RearingMS -9.89 6.54 -1.51 0.14
## PNN_intensity_IL_c:HousingSI -3.74 5.13 -0.73 0.47
## PNN_intensity_IL_c:RearingMS:HousingSI 16.52 8.64 1.91 0.06
## ---------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 20.18 20.177 1.3120 0.25958
## Rearing 1 1.45 1.446 0.0940 0.76088
## Housing 1 55.22 55.223 3.5911 0.06614 .
## PNN_intensity_IL_c:Rearing 1 0.00 0.000 0.0000 0.99556
## PNN_intensity_IL_c:Housing 1 3.93 3.933 0.2558 0.61614
## PNN_intensity_IL_c:Rearing:Housing 1 56.22 56.219 3.6559 0.06386 .
## Residuals 36 553.61 15.378
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.7895 -2.4290 -0.9143 1.3441 12.6992
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.15094 1.19668 2.633 0.0124
## PNN_pos_PV_count_IL_c 0.09913 0.28961 0.342 0.7341
## RearingMS 0.46153 1.32025 0.350 0.7287
## HousingSI 2.24639 1.32178 1.700 0.0978
## PNN_pos_PV_count_IL_c:RearingMS -0.01030 0.38864 -0.027 0.9790
## PNN_pos_PV_count_IL_c:HousingSI -0.04122 0.35716 -0.115 0.9088
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.10750 0.54612 -0.197 0.8451
##
## (Intercept) *
## PNN_pos_PV_count_IL_c
## RearingMS
## HousingSI .
## PNN_pos_PV_count_IL_c:RearingMS
## PNN_pos_PV_count_IL_c:HousingSI
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.185 on 36 degrees of freedom
## Multiple R-squared: 0.08708, Adjusted R-squared: -0.06507
## F-statistic: 0.5723 on 6 and 36 DF, p-value: 0.7496
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.57, p = 0.75
## R² = 0.09
## Adj. R² = -0.07
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.15 1.20 2.63 0.01
## PNN_pos_PV_count_IL_c 0.10 0.29 0.34 0.73
## RearingMS 0.46 1.32 0.35 0.73
## HousingSI 2.25 1.32 1.70 0.10
## PNN_pos_PV_count_IL_c:RearingMS -0.01 0.39 -0.03 0.98
## PNN_pos_PV_count_IL_c:HousingSI -0.04 0.36 -0.12 0.91
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.11 0.55 -0.20 0.85
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 0.96 0.964 0.0550 0.81588
## Rearing 1 0.78 0.784 0.0448 0.83360
## Housing 1 55.29 55.292 3.1572 0.08404 .
## PNN_pos_PV_count_IL_c:Rearing 1 0.45 0.455 0.0260 0.87287
## PNN_pos_PV_count_IL_c:Housing 1 1.97 1.967 0.1123 0.73945
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 0.68 0.679 0.0387 0.84505
## Residuals 36 630.46 17.513
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.5601 -2.5941 -0.4433 1.9880 10.8230
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 3.2914 1.1405 2.886
## PNN_pos_PV_intensity_IL_c 0.4756 3.3446 0.142
## RearingMS 0.3606 1.2787 0.282
## HousingSI 2.1840 1.2788 1.708
## PNN_pos_PV_intensity_IL_c:RearingMS -2.3367 3.8625 -0.605
## PNN_pos_PV_intensity_IL_c:HousingSI -2.4248 4.1085 -0.590
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 3.4782 5.1560 0.675
## Pr(>|t|)
## (Intercept) 0.00656 **
## PNN_pos_PV_intensity_IL_c 0.88771
## RearingMS 0.77956
## HousingSI 0.09627 .
## PNN_pos_PV_intensity_IL_c:RearingMS 0.54899
## PNN_pos_PV_intensity_IL_c:HousingSI 0.55875
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.50424
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 4.109 on 36 degrees of freedom
## Multiple R-squared: 0.1198, Adjusted R-squared: -0.02687
## F-statistic: 0.8168 on 6 and 36 DF, p-value: 0.5641
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.82, p = 0.56
## R² = 0.12
## Adj. R² = -0.03
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.29 1.14 2.89 0.01
## PNN_pos_PV_intensity_IL_c 0.48 3.34 0.14 0.89
## RearingMS 0.36 1.28 0.28 0.78
## HousingSI 2.18 1.28 1.71 0.10
## PNN_pos_PV_intensity_IL_c:RearingMS -2.34 3.86 -0.60 0.55
## PNN_pos_PV_intensity_IL_c:HousingSI -2.42 4.11 -0.59 0.56
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 3.48 5.16 0.67 0.50
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 29.40 29.404 1.7415 0.1953
## Rearing 1 0.06 0.060 0.0036 0.9527
## Housing 1 45.20 45.200 2.6770 0.1105
## PNN_pos_PV_intensity_IL_c:Rearing 1 0.29 0.288 0.0171 0.8968
## PNN_pos_PV_intensity_IL_c:Housing 1 0.12 0.117 0.0069 0.9341
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 7.68 7.684 0.4551 0.5042
## Residuals 36 607.85 16.885
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.358 -2.498 -0.921 2.591 11.680
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 3.0051 1.0858 2.768
## PV_pos_PNN_intensity_IL_c 3.7229 2.8569 1.303
## RearingMS 0.6083 1.2334 0.493
## HousingSI 2.3930 1.2333 1.940
## PV_pos_PNN_intensity_IL_c:RearingMS -5.8059 4.8574 -1.195
## PV_pos_PNN_intensity_IL_c:HousingSI -5.1723 4.2518 -1.217
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 11.7686 6.5981 1.784
## Pr(>|t|)
## (Intercept) 0.00886 **
## PV_pos_PNN_intensity_IL_c 0.20081
## RearingMS 0.62488
## HousingSI 0.06020 .
## PV_pos_PNN_intensity_IL_c:RearingMS 0.23979
## PV_pos_PNN_intensity_IL_c:HousingSI 0.23171
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.08292 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.982 on 36 degrees of freedom
## Multiple R-squared: 0.1733, Adjusted R-squared: 0.03555
## F-statistic: 1.258 on 6 and 36 DF, p-value: 0.301
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: freq_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.26, p = 0.30
## R² = 0.17
## Adj. R² = 0.04
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 3.01 1.09 2.77 0.01
## PV_pos_PNN_intensity_IL_c 3.72 2.86 1.30 0.20
## RearingMS 0.61 1.23 0.49 0.62
## HousingSI 2.39 1.23 1.94 0.06
## PV_pos_PNN_intensity_IL_c:RearingMS -5.81 4.86 -1.20 0.24
## PV_pos_PNN_intensity_IL_c:HousingSI -5.17 4.25 -1.22 0.23
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 11.77 6.60 1.78 0.08
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 9.26 9.262 0.5841 0.44971
## Rearing 1 0.53 0.533 0.0336 0.85561
## Housing 1 58.91 58.907 3.7145 0.06186 .
## PV_pos_PNN_intensity_IL_c:Rearing 1 0.40 0.400 0.0252 0.87472
## PV_pos_PNN_intensity_IL_c:Housing 1 0.15 0.147 0.0092 0.92392
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 50.45 50.451 3.1813 0.08292 .
## Residuals 36 570.91 15.858
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [[1]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 41.33 41.334 2.5191 0.1212
## Rearing 1 0.76 0.760 0.0463 0.8308
## Housing 1 44.40 44.401 2.7060 0.1087
## PV_count_PL_c:Rearing 1 0.73 0.734 0.0447 0.8337
## PV_count_PL_c:Housing 1 2.29 2.289 0.1395 0.7109
## PV_count_PL_c:Rearing:Housing 1 10.38 10.378 0.6325 0.4317
## Residuals 36 590.71 16.409
##
## [[2]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 31.31 31.307 1.9446 0.17172
## Rearing 1 0.00 0.001 0.0000 0.99487
## Housing 1 51.65 51.654 3.2084 0.08167 .
## PV_intensity_PL_c:Rearing 1 4.46 4.464 0.2773 0.60173
## PV_intensity_PL_c:Housing 1 2.09 2.090 0.1298 0.72075
## PV_intensity_PL_c:Rearing:Housing 1 21.51 21.507 1.3359 0.25537
## Residuals 36 579.58 16.100
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[3]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 0.12 0.124 0.0073 0.93218
## Rearing 1 0.47 0.466 0.0276 0.86909
## Housing 1 53.25 53.245 3.1456 0.08459 .
## PNN_count_PL_c:Rearing 1 0.00 0.002 0.0001 0.99170
## PNN_count_PL_c:Housing 1 27.40 27.404 1.6190 0.21139
## PNN_count_PL_c:Rearing:Housing 1 0.00 0.000 0.0000 0.99918
## Residuals 36 609.36 16.927
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 3.14 3.137 0.1867 0.66823
## Rearing 1 1.05 1.050 0.0625 0.80401
## Housing 1 56.29 56.290 3.3507 0.07546 .
## PNN_intensity_PL_c:Rearing 1 0.59 0.589 0.0351 0.85248
## PNN_intensity_PL_c:Housing 1 0.11 0.112 0.0066 0.93547
## PNN_intensity_PL_c:Rearing:Housing 1 24.65 24.654 1.4676 0.23362
## Residuals 36 604.77 16.799
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[5]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 2.66 2.662 0.1538 0.69728
## Rearing 1 0.14 0.138 0.0080 0.92927
## Housing 1 52.75 52.746 3.0472 0.08941 .
## PNN_pos_PV_count_PL_c:Rearing 1 4.59 4.587 0.2650 0.60987
## PNN_pos_PV_count_PL_c:Housing 1 7.19 7.186 0.4151 0.52345
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 0.15 0.146 0.0084 0.92743
## Residuals 36 623.14 17.309
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 64.89 64.890 4.0918 0.05057 .
## Rearing 1 0.36 0.357 0.0225 0.88152
## Housing 1 48.27 48.266 3.0436 0.08959 .
## PNN_pos_PV_intensity_PL_c:Rearing 1 0.13 0.127 0.0080 0.92912
## PNN_pos_PV_intensity_PL_c:Housing 1 3.35 3.351 0.2113 0.64851
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 2.71 2.707 0.1707 0.68196
## Residuals 36 570.91 15.858
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[7]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 2.70 2.703 0.1590 0.69241
## Rearing 1 0.92 0.921 0.0542 0.81730
## Housing 1 57.24 57.236 3.3671 0.07478 .
## PV_pos_PNN_intensity_PL_c:Rearing 1 0.48 0.483 0.0284 0.86708
## PV_pos_PNN_intensity_PL_c:Housing 1 0.70 0.702 0.0413 0.84007
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 16.62 16.618 0.9776 0.32939
## Residuals 36 611.94 16.998
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[8]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 23.45 23.448 1.4344 0.2389
## Rearing 1 0.38 0.382 0.0234 0.8793
## Housing 1 40.74 40.735 2.4919 0.1232
## PV_count_IL_c:Rearing 1 0.25 0.252 0.0154 0.9018
## PV_count_IL_c:Housing 1 13.02 13.017 0.7963 0.3781
## PV_count_IL_c:Rearing:Housing 1 24.28 24.278 1.4852 0.2309
## Residuals 36 588.49 16.347
##
## [[9]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 5.93 5.927 0.3449 0.5607
## Rearing 1 0.21 0.214 0.0124 0.9118
## Housing 1 51.23 51.232 2.9813 0.0928 .
## PV_intensity_IL_c:Rearing 1 1.04 1.042 0.0607 0.8069
## PV_intensity_IL_c:Housing 1 0.00 0.000 0.0000 0.9987
## PV_intensity_IL_c:Rearing:Housing 1 13.55 13.554 0.7887 0.3804
## Residuals 36 618.64 17.184
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 1.09 1.095 0.0633 0.80277
## Rearing 1 0.54 0.545 0.0315 0.86011
## Housing 1 54.95 54.954 3.1777 0.08309 .
## PNN_count_IL_c:Rearing 1 1.94 1.943 0.1124 0.73942
## PNN_count_IL_c:Housing 1 6.37 6.372 0.3684 0.54766
## PNN_count_IL_c:Rearing:Housing 1 3.12 3.119 0.1803 0.67361
## Residuals 36 622.58 17.294
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[11]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 20.18 20.177 1.3120 0.25958
## Rearing 1 1.45 1.446 0.0940 0.76088
## Housing 1 55.22 55.223 3.5911 0.06614 .
## PNN_intensity_IL_c:Rearing 1 0.00 0.000 0.0000 0.99556
## PNN_intensity_IL_c:Housing 1 3.93 3.933 0.2558 0.61614
## PNN_intensity_IL_c:Rearing:Housing 1 56.22 56.219 3.6559 0.06386 .
## Residuals 36 553.61 15.378
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[12]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 0.96 0.964 0.0550 0.81588
## Rearing 1 0.78 0.784 0.0448 0.83360
## Housing 1 55.29 55.292 3.1572 0.08404 .
## PNN_pos_PV_count_IL_c:Rearing 1 0.45 0.455 0.0260 0.87287
## PNN_pos_PV_count_IL_c:Housing 1 1.97 1.967 0.1123 0.73945
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 0.68 0.679 0.0387 0.84505
## Residuals 36 630.46 17.513
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[13]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 29.40 29.404 1.7415 0.1953
## Rearing 1 0.06 0.060 0.0036 0.9527
## Housing 1 45.20 45.200 2.6770 0.1105
## PNN_pos_PV_intensity_IL_c:Rearing 1 0.29 0.288 0.0171 0.8968
## PNN_pos_PV_intensity_IL_c:Housing 1 0.12 0.117 0.0069 0.9341
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 7.68 7.684 0.4551 0.5042
## Residuals 36 607.85 16.885
##
## [[14]]
## Analysis of Variance Table
##
## Response: freq_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 9.26 9.262 0.5841 0.44971
## Rearing 1 0.53 0.533 0.0336 0.85561
## Housing 1 58.91 58.907 3.7145 0.06186 .
## PV_pos_PNN_intensity_IL_c:Rearing 1 0.40 0.400 0.0252 0.87472
## PV_pos_PNN_intensity_IL_c:Housing 1 0.15 0.147 0.0092 0.92392
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 50.45 50.451 3.1813 0.08292 .
## Residuals 36 570.91 15.858
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Male - Head poke duration
# Returning summary, summ, and anova stats for every linear model in the malelm_head_poke_duration list
lapply(malelm_head_poke_duration, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -79.997 -19.793 -3.826 15.572 94.841
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 90.2890 10.6206 8.501 3.94e-10 ***
## PV_count_PL_c -0.5986 1.3849 -0.432 0.668
## RearingMS -1.5957 11.3992 -0.140 0.889
## HousingSI -17.3070 11.5023 -1.505 0.141
## PV_count_PL_c:RearingMS -0.1250 1.9679 -0.064 0.950
## PV_count_PL_c:HousingSI 1.6169 1.7255 0.937 0.355
## PV_count_PL_c:RearingMS:HousingSI 0.6265 2.4062 0.260 0.796
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 34.89 on 36 degrees of freedom
## Multiple R-squared: 0.1748, Adjusted R-squared: 0.03728
## F-statistic: 1.271 on 6 and 36 DF, p-value: 0.295
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.27, p = 0.29
## R² = 0.17
## Adj. R² = 0.04
##
## Standard errors: OLS
## ------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- -------- ------- -------- ------
## (Intercept) 90.29 10.62 8.50 0.00
## PV_count_PL_c -0.60 1.38 -0.43 0.67
## RearingMS -1.60 11.40 -0.14 0.89
## HousingSI -17.31 11.50 -1.50 0.14
## PV_count_PL_c:RearingMS -0.13 1.97 -0.06 0.95
## PV_count_PL_c:HousingSI 1.62 1.73 0.94 0.35
## PV_count_PL_c:RearingMS:HousingSI 0.63 2.41 0.26 0.80
## ------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 1727 1727.5 1.4188 0.24140
## Rearing 1 179 178.9 0.1469 0.70376
## Housing 1 3567 3567.2 2.9298 0.09556 .
## PV_count_PL_c:Rearing 1 136 136.0 0.1117 0.74017
## PV_count_PL_c:Housing 1 3594 3593.7 2.9515 0.09439 .
## PV_count_PL_c:Rearing:Housing 1 83 82.5 0.0678 0.79607
## Residuals 36 43833 1217.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -85.65 -18.58 -5.50 17.44 64.49
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 92.7148 9.2356 10.039 5.6e-12 ***
## PV_intensity_PL_c -40.3408 22.3333 -1.806 0.0792 .
## RearingMS -0.6604 10.3451 -0.064 0.9495
## HousingSI -21.9221 10.3502 -2.118 0.0411 *
## PV_intensity_PL_c:RearingMS 60.8836 31.3532 1.942 0.0600 .
## PV_intensity_PL_c:HousingSI 51.7111 28.8603 1.792 0.0816 .
## PV_intensity_PL_c:RearingMS:HousingSI -47.1193 38.9391 -1.210 0.2341
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 33.45 on 36 degrees of freedom
## Multiple R-squared: 0.2416, Adjusted R-squared: 0.1152
## F-statistic: 1.911 on 6 and 36 DF, p-value: 0.1057
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.91, p = 0.11
## R² = 0.24
## Adj. R² = 0.12
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------- -------- ------
## (Intercept) 92.71 9.24 10.04 0.00
## PV_intensity_PL_c -40.34 22.33 -1.81 0.08
## RearingMS -0.66 10.35 -0.06 0.95
## HousingSI -21.92 10.35 -2.12 0.04
## PV_intensity_PL_c:RearingMS 60.88 31.35 1.94 0.06
## PV_intensity_PL_c:HousingSI 51.71 28.86 1.79 0.08
## PV_intensity_PL_c:RearingMS:HousingSI -47.12 38.94 -1.21 0.23
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 1496 1496.3 1.3371 0.25516
## Rearing 1 65 65.1 0.0582 0.81073
## Housing 1 3987 3987.2 3.5630 0.06716 .
## PV_intensity_PL_c:Rearing 1 3648 3648.0 3.2599 0.07936 .
## PV_intensity_PL_c:Housing 1 1997 1997.0 1.7846 0.18997
## PV_intensity_PL_c:Rearing:Housing 1 1639 1638.6 1.4643 0.23414
## Residuals 36 40286 1119.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -78.666 -21.499 -0.364 16.424 57.486
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 90.7905 8.3238 10.907 5.8e-13 ***
## PNN_count_PL_c -4.0717 1.2318 -3.305 0.00215 **
## RearingMS 0.1402 9.4249 0.015 0.98821
## HousingSI -19.9169 9.4219 -2.114 0.04152 *
## PNN_count_PL_c:RearingMS 3.2301 1.4528 2.223 0.03255 *
## PNN_count_PL_c:HousingSI 5.6948 1.6061 3.546 0.00111 **
## PNN_count_PL_c:RearingMS:HousingSI -3.4904 2.0936 -1.667 0.10416
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.66 on 36 degrees of freedom
## Multiple R-squared: 0.3631, Adjusted R-squared: 0.257
## F-statistic: 3.421 on 6 and 36 DF, p-value: 0.008941
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 3.42, p = 0.01
## R² = 0.36
## Adj. R² = 0.26
##
## Standard errors: OLS
## ------------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- -------- ------ -------- ------
## (Intercept) 90.79 8.32 10.91 0.00
## PNN_count_PL_c -4.07 1.23 -3.31 0.00
## RearingMS 0.14 9.42 0.01 0.99
## HousingSI -19.92 9.42 -2.11 0.04
## PNN_count_PL_c:RearingMS 3.23 1.45 2.22 0.03
## PNN_count_PL_c:HousingSI 5.69 1.61 3.55 0.00
## PNN_count_PL_c:RearingMS:HousingSI -3.49 2.09 -1.67 0.10
## ------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 295 294.6 0.3135 0.579035
## Rearing 1 6 5.7 0.0061 0.938096
## Housing 1 4258 4257.9 4.5310 0.040200 *
## PNN_count_PL_c:Rearing 1 354 353.9 0.3766 0.543281
## PNN_count_PL_c:Housing 1 11764 11764.2 12.5187 0.001131 **
## PNN_count_PL_c:Rearing:Housing 1 2612 2611.9 2.7794 0.104162
## Residuals 36 33830 939.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -67.32 -16.54 -1.74 14.88 67.91
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 96.016 8.728 11.000 4.58e-13 ***
## PNN_intensity_PL_c -86.349 23.931 -3.608 0.000929 ***
## RearingMS -3.061 10.066 -0.304 0.762827
## HousingSI -24.654 10.028 -2.459 0.018890 *
## PNN_intensity_PL_c:RearingMS 111.141 39.065 2.845 0.007282 **
## PNN_intensity_PL_c:HousingSI 98.458 32.847 2.997 0.004910 **
## PNN_intensity_PL_c:RearingMS:HousingSI -131.793 56.494 -2.333 0.025360 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 31.34 on 36 degrees of freedom
## Multiple R-squared: 0.3343, Adjusted R-squared: 0.2234
## F-statistic: 3.013 on 6 and 36 DF, p-value: 0.01721
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 3.01, p = 0.02
## R² = 0.33
## Adj. R² = 0.22
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- --------- ------- -------- ------
## (Intercept) 96.02 8.73 11.00 0.00
## PNN_intensity_PL_c -86.35 23.93 -3.61 0.00
## RearingMS -3.06 10.07 -0.30 0.76
## HousingSI -24.65 10.03 -2.46 0.02
## PNN_intensity_PL_c:RearingMS 111.14 39.06 2.85 0.01
## PNN_intensity_PL_c:HousingSI 98.46 32.85 3.00 0.00
## PNN_intensity_PL_c:RearingMS:HousingSI -131.79 56.49 -2.33 0.03
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 1515 1515.3 1.5427 0.22225
## Rearing 1 15 15.4 0.0157 0.90096
## Housing 1 4581 4581.4 4.6643 0.03753 *
## PNN_intensity_PL_c:Rearing 1 2336 2335.7 2.3780 0.13180
## PNN_intensity_PL_c:Housing 1 3965 3965.3 4.0371 0.05205 .
## PNN_intensity_PL_c:Rearing:Housing 1 5346 5345.5 5.4423 0.02536 *
## Residuals 36 35360 982.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -83.50 -17.40 -0.57 15.07 56.72
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 96.160 8.874 10.836 6.96e-13
## PNN_pos_PV_count_PL_c -6.034 1.858 -3.247 0.00252
## RearingMS -5.715 9.913 -0.576 0.56788
## HousingSI -22.916 9.932 -2.307 0.02690
## PNN_pos_PV_count_PL_c:RearingMS 4.750 2.686 1.768 0.08548
## PNN_pos_PV_count_PL_c:HousingSI 8.019 2.440 3.287 0.00227
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -5.106 3.582 -1.425 0.16266
##
## (Intercept) ***
## PNN_pos_PV_count_PL_c **
## RearingMS
## HousingSI *
## PNN_pos_PV_count_PL_c:RearingMS .
## PNN_pos_PV_count_PL_c:HousingSI **
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 31.41 on 36 degrees of freedom
## Multiple R-squared: 0.3315, Adjusted R-squared: 0.2201
## F-statistic: 2.976 on 6 and 36 DF, p-value: 0.01831
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.98, p = 0.02
## R² = 0.33
## Adj. R² = 0.22
##
## Standard errors: OLS
## -------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- -------- ------ -------- ------
## (Intercept) 96.16 8.87 10.84 0.00
## PNN_pos_PV_count_PL_c -6.03 1.86 -3.25 0.00
## RearingMS -5.71 9.91 -0.58 0.57
## HousingSI -22.92 9.93 -2.31 0.03
## PNN_pos_PV_count_PL_c:RearingMS 4.75 2.69 1.77 0.09
## PNN_pos_PV_count_PL_c:HousingSI 8.02 2.44 3.29 0.00
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -5.11 3.58 -1.43 0.16
## -------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 467 466.6 0.4731 0.495994
## Rearing 1 2 1.9 0.0020 0.964798
## Housing 1 4172 4171.5 4.2292 0.047037 *
## PNN_pos_PV_count_PL_c:Rearing 1 849 848.9 0.8607 0.359724
## PNN_pos_PV_count_PL_c:Housing 1 10117 10116.6 10.2566 0.002847 **
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 2004 2004.0 2.0317 0.162658
## Residuals 36 35509 986.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -65.262 -18.218 -3.988 14.238 94.003
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 90.7281 10.0804 9.000
## PNN_pos_PV_intensity_PL_c -6.1690 19.9291 -0.310
## RearingMS 0.4845 10.8863 0.045
## HousingSI -20.5897 10.9140 -1.887
## PNN_pos_PV_intensity_PL_c:RearingMS 16.2134 24.5883 0.659
## PNN_pos_PV_intensity_PL_c:HousingSI 16.1614 23.8157 0.679
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI -4.0272 30.0181 -0.134
## Pr(>|t|)
## (Intercept) 9.58e-11 ***
## PNN_pos_PV_intensity_PL_c 0.7587
## RearingMS 0.9647
## HousingSI 0.0673 .
## PNN_pos_PV_intensity_PL_c:RearingMS 0.5138
## PNN_pos_PV_intensity_PL_c:HousingSI 0.5017
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.8940
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 34.49 on 36 degrees of freedom
## Multiple R-squared: 0.1939, Adjusted R-squared: 0.05956
## F-statistic: 1.443 on 6 and 36 DF, p-value: 0.2255
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.44, p = 0.23
## R² = 0.19
## Adj. R² = 0.06
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 90.73 10.08 9.00
## PNN_pos_PV_intensity_PL_c -6.17 19.93 -0.31
## RearingMS 0.48 10.89 0.04
## HousingSI -20.59 10.91 -1.89
## PNN_pos_PV_intensity_PL_c:RearingMS 16.21 24.59 0.66
## PNN_pos_PV_intensity_PL_c:HousingSI 16.16 23.82 0.68
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI -4.03 30.02 -0.13
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PNN_pos_PV_intensity_PL_c 0.76
## RearingMS 0.96
## HousingSI 0.07
## PNN_pos_PV_intensity_PL_c:RearingMS 0.51
## PNN_pos_PV_intensity_PL_c:HousingSI 0.50
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.89
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 4337 4337.2 3.6465 0.06418 .
## Rearing 1 188 187.8 0.1579 0.69348
## Housing 1 3721 3720.8 3.1283 0.08542 .
## PNN_pos_PV_intensity_PL_c:Rearing 1 936 936.1 0.7870 0.38089
## PNN_pos_PV_intensity_PL_c:Housing 1 1097 1097.0 0.9223 0.34327
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 21 21.4 0.0180 0.89402
## Residuals 36 42818 1189.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -70.769 -17.019 -4.411 18.772 68.706
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 94.586 8.670 10.909
## PV_pos_PNN_intensity_PL_c -80.688 22.108 -3.650
## RearingMS -3.139 10.000 -0.314
## HousingSI -22.657 9.966 -2.273
## PV_pos_PNN_intensity_PL_c:RearingMS 93.782 35.884 2.614
## PV_pos_PNN_intensity_PL_c:HousingSI 96.822 30.401 3.185
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -110.629 52.021 -2.127
## Pr(>|t|)
## (Intercept) 5.77e-13 ***
## PV_pos_PNN_intensity_PL_c 0.000826 ***
## RearingMS 0.755427
## HousingSI 0.029070 *
## PV_pos_PNN_intensity_PL_c:RearingMS 0.012998 *
## PV_pos_PNN_intensity_PL_c:HousingSI 0.002987 **
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.040375 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 31.28 on 36 degrees of freedom
## Multiple R-squared: 0.3368, Adjusted R-squared: 0.2262
## F-statistic: 3.047 on 6 and 36 DF, p-value: 0.01631
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 3.05, p = 0.02
## R² = 0.34
## Adj. R² = 0.23
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- --------- ------- --------
## (Intercept) 94.59 8.67 10.91
## PV_pos_PNN_intensity_PL_c -80.69 22.11 -3.65
## RearingMS -3.14 10.00 -0.31
## HousingSI -22.66 9.97 -2.27
## PV_pos_PNN_intensity_PL_c:RearingMS 93.78 35.88 2.61
## PV_pos_PNN_intensity_PL_c:HousingSI 96.82 30.40 3.18
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -110.63 52.02 -2.13
## ------------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PV_pos_PNN_intensity_PL_c 0.00
## RearingMS 0.76
## HousingSI 0.03
## PV_pos_PNN_intensity_PL_c:RearingMS 0.01
## PV_pos_PNN_intensity_PL_c:HousingSI 0.00
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.04
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 1257 1256.9 1.2844 0.26457
## Rearing 1 6 6.1 0.0062 0.93773
## Housing 1 4711 4710.7 4.8138 0.03477 *
## PV_pos_PNN_intensity_PL_c:Rearing 1 1895 1895.5 1.9369 0.17254
## PV_pos_PNN_intensity_PL_c:Housing 1 5594 5594.3 5.7167 0.02216 *
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 4426 4425.7 4.5226 0.04037 *
## Residuals 36 35229 978.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -77.774 -20.798 -4.181 17.394 92.237
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 92.27678 10.58355 8.719 2.12e-10 ***
## PV_count_IL_c -1.51771 1.39210 -1.090 0.283
## RearingMS -0.43884 11.54882 -0.038 0.970
## HousingSI -18.46658 11.54714 -1.599 0.119
## PV_count_IL_c:RearingMS 0.52143 1.76193 0.296 0.769
## PV_count_IL_c:HousingSI 2.32081 1.67012 1.390 0.173
## PV_count_IL_c:RearingMS:HousingSI -0.05367 2.27859 -0.024 0.981
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 34.7 on 36 degrees of freedom
## Multiple R-squared: 0.1841, Adjusted R-squared: 0.04812
## F-statistic: 1.354 on 6 and 36 DF, p-value: 0.2595
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.35, p = 0.26
## R² = 0.18
## Adj. R² = 0.05
##
## Standard errors: OLS
## ------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- -------- ------- -------- ------
## (Intercept) 92.28 10.58 8.72 0.00
## PV_count_IL_c -1.52 1.39 -1.09 0.28
## RearingMS -0.44 11.55 -0.04 0.97
## HousingSI -18.47 11.55 -1.60 0.12
## PV_count_IL_c:RearingMS 0.52 1.76 0.30 0.77
## PV_count_IL_c:HousingSI 2.32 1.67 1.39 0.17
## PV_count_IL_c:RearingMS:HousingSI -0.05 2.28 -0.02 0.98
## ------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 446 445.7 0.3702 0.54672
## Rearing 1 80 80.5 0.0669 0.79744
## Housing 1 3648 3648.4 3.0306 0.09025 .
## PV_count_IL_c:Rearing 1 32 31.9 0.0265 0.87162
## PV_count_IL_c:Housing 1 5572 5572.1 4.6285 0.03823 *
## PV_count_IL_c:Rearing:Housing 1 1 0.7 0.0006 0.98134
## Residuals 36 43339 1203.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -82.706 -16.995 -5.937 15.591 65.026
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 92.023 9.476 9.711 1.35e-11 ***
## PV_intensity_IL_c -60.606 31.662 -1.914 0.0636 .
## RearingMS -1.635 10.666 -0.153 0.8790
## HousingSI -21.064 10.668 -1.975 0.0560 .
## PV_intensity_IL_c:RearingMS 76.669 39.344 1.949 0.0592 .
## PV_intensity_IL_c:HousingSI 73.647 37.774 1.950 0.0590 .
## PV_intensity_IL_c:RearingMS:HousingSI -66.035 50.039 -1.320 0.1953
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 34.28 on 36 degrees of freedom
## Multiple R-squared: 0.2037, Adjusted R-squared: 0.07102
## F-statistic: 1.535 on 6 and 36 DF, p-value: 0.1948
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.54, p = 0.19
## R² = 0.20
## Adj. R² = 0.07
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------- -------- ------
## (Intercept) 92.02 9.48 9.71 0.00
## PV_intensity_IL_c -60.61 31.66 -1.91 0.06
## RearingMS -1.64 10.67 -0.15 0.88
## HousingSI -21.06 10.67 -1.97 0.06
## PV_intensity_IL_c:RearingMS 76.67 39.34 1.95 0.06
## PV_intensity_IL_c:HousingSI 73.65 37.77 1.95 0.06
## PV_intensity_IL_c:RearingMS:HousingSI -66.03 50.04 -1.32 0.20
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 545 545.2 0.4641 0.50009
## Rearing 1 28 28.1 0.0239 0.87798
## Housing 1 3905 3905.4 3.3240 0.07659 .
## PV_intensity_IL_c:Rearing 1 1814 1814.3 1.5442 0.22202
## PV_intensity_IL_c:Housing 1 2483 2482.8 2.1132 0.15470
## PV_intensity_IL_c:Rearing:Housing 1 2046 2046.1 1.7415 0.19528
## Residuals 36 42297 1174.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -78.064 -19.695 -1.052 19.395 61.899
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 93.0406 9.0062 10.331 2.59e-12 ***
## PNN_count_IL_c -2.3928 0.9611 -2.490 0.0175 *
## RearingMS -2.0351 10.1254 -0.201 0.8418
## HousingSI -21.7111 10.1268 -2.144 0.0389 *
## PNN_count_IL_c:RearingMS 1.4307 1.2389 1.155 0.2558
## PNN_count_IL_c:HousingSI 3.3287 1.2488 2.666 0.0114 *
## PNN_count_IL_c:RearingMS:HousingSI -1.8987 1.8893 -1.005 0.3216
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 32.92 on 36 degrees of freedom
## Multiple R-squared: 0.2656, Adjusted R-squared: 0.1432
## F-statistic: 2.17 on 6 and 36 DF, p-value: 0.06889
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.17, p = 0.07
## R² = 0.27
## Adj. R² = 0.14
##
## Standard errors: OLS
## -------------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- -------- ------- -------- ------
## (Intercept) 93.04 9.01 10.33 0.00
## PNN_count_IL_c -2.39 0.96 -2.49 0.02
## RearingMS -2.04 10.13 -0.20 0.84
## HousingSI -21.71 10.13 -2.14 0.04
## PNN_count_IL_c:RearingMS 1.43 1.24 1.15 0.26
## PNN_count_IL_c:HousingSI 3.33 1.25 2.67 0.01
## PNN_count_IL_c:RearingMS:HousingSI -1.90 1.89 -1.00 0.32
## -------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 849 849.2 0.7837 0.38189
## Rearing 1 3 3.4 0.0031 0.95567
## Housing 1 4424 4424.1 4.0828 0.05081 .
## PNN_count_IL_c:Rearing 1 12 12.1 0.0112 0.91637
## PNN_count_IL_c:Housing 1 7726 7726.0 7.1300 0.01130 *
## PNN_count_IL_c:Rearing:Housing 1 1094 1094.4 1.0100 0.32161
## Residuals 36 39009 1083.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -62.125 -15.519 -5.115 18.937 67.311
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 95.081 8.539 11.135 3.25e-13 ***
## PNN_intensity_IL_c -92.073 25.995 -3.542 0.00112 **
## RearingMS -1.756 9.742 -0.180 0.85793
## HousingSI -24.177 9.745 -2.481 0.01792 *
## PNN_intensity_IL_c:RearingMS 137.664 51.725 2.661 0.01155 *
## PNN_intensity_IL_c:HousingSI 114.601 40.568 2.825 0.00766 **
## PNN_intensity_IL_c:RearingMS:HousingSI -191.885 68.355 -2.807 0.00802 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 31.02 on 36 degrees of freedom
## Multiple R-squared: 0.3478, Adjusted R-squared: 0.2391
## F-statistic: 3.199 on 6 and 36 DF, p-value: 0.01274
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 3.20, p = 0.01
## R² = 0.35
## Adj. R² = 0.24
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- --------- ------- -------- ------
## (Intercept) 95.08 8.54 11.14 0.00
## PNN_intensity_IL_c -92.07 26.00 -3.54 0.00
## RearingMS -1.76 9.74 -0.18 0.86
## HousingSI -24.18 9.75 -2.48 0.02
## PNN_intensity_IL_c:RearingMS 137.66 51.72 2.66 0.01
## PNN_intensity_IL_c:HousingSI 114.60 40.57 2.82 0.01
## PNN_intensity_IL_c:RearingMS:HousingSI -191.89 68.35 -2.81 0.01
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 3204 3204.4 3.3298 0.076343 .
## Rearing 1 11 10.9 0.0113 0.915874
## Housing 1 4295 4295.1 4.4631 0.041637 *
## PNN_intensity_IL_c:Rearing 1 1387 1387.0 1.4412 0.237782
## PNN_intensity_IL_c:Housing 1 1993 1992.6 2.0706 0.158805
## PNN_intensity_IL_c:Rearing:Housing 1 7584 7583.7 7.8804 0.008018 **
## Residuals 36 34645 962.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -83.013 -16.900 -2.276 13.026 63.311
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 98.736 8.952 11.030 4.25e-13
## PNN_pos_PV_count_IL_c -7.422 2.166 -3.426 0.00155
## RearingMS -8.081 9.876 -0.818 0.41859
## HousingSI -25.192 9.887 -2.548 0.01525
## PNN_pos_PV_count_IL_c:RearingMS 5.037 2.907 1.733 0.09172
## PNN_pos_PV_count_IL_c:HousingSI 8.565 2.672 3.206 0.00282
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -6.637 4.085 -1.625 0.11297
##
## (Intercept) ***
## PNN_pos_PV_count_IL_c **
## RearingMS
## HousingSI *
## PNN_pos_PV_count_IL_c:RearingMS .
## PNN_pos_PV_count_IL_c:HousingSI **
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 31.3 on 36 degrees of freedom
## Multiple R-squared: 0.3359, Adjusted R-squared: 0.2252
## F-statistic: 3.034 on 6 and 36 DF, p-value: 0.01664
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 3.03, p = 0.02
## R² = 0.34
## Adj. R² = 0.23
##
## Standard errors: OLS
## -------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- -------- ------ -------- ------
## (Intercept) 98.74 8.95 11.03 0.00
## PNN_pos_PV_count_IL_c -7.42 2.17 -3.43 0.00
## RearingMS -8.08 9.88 -0.82 0.42
## HousingSI -25.19 9.89 -2.55 0.02
## PNN_pos_PV_count_IL_c:RearingMS 5.04 2.91 1.73 0.09
## PNN_pos_PV_count_IL_c:HousingSI 8.56 2.67 3.21 0.00
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -6.64 4.09 -1.62 0.11
## -------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 2483 2483.3 2.5342 0.120150
## Rearing 1 36 36.1 0.0369 0.848792
## Housing 1 4735 4735.0 4.8319 0.034451 *
## PNN_pos_PV_count_IL_c:Rearing 1 8 8.1 0.0082 0.928279
## PNN_pos_PV_count_IL_c:Housing 1 7992 7992.0 8.1557 0.007084 **
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 2586 2586.4 2.6394 0.112969
## Residuals 36 35278 979.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -71.225 -17.461 -7.421 17.185 86.516
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 90.3119 9.7401 9.272
## PNN_pos_PV_intensity_IL_c -25.3303 28.5641 -0.887
## RearingMS -0.3634 10.9204 -0.033
## HousingSI -19.1298 10.9213 -1.752
## PNN_pos_PV_intensity_IL_c:RearingMS 41.9586 32.9866 1.272
## PNN_pos_PV_intensity_IL_c:HousingSI 41.5261 35.0877 1.183
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -34.8211 44.0339 -0.791
## Pr(>|t|)
## (Intercept) 4.49e-11 ***
## PNN_pos_PV_intensity_IL_c 0.3811
## RearingMS 0.9736
## HousingSI 0.0884 .
## PNN_pos_PV_intensity_IL_c:RearingMS 0.2115
## PNN_pos_PV_intensity_IL_c:HousingSI 0.2444
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.4343
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 35.09 on 36 degrees of freedom
## Multiple R-squared: 0.1654, Adjusted R-squared: 0.02626
## F-statistic: 1.189 on 6 and 36 DF, p-value: 0.3343
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.19, p = 0.33
## R² = 0.17
## Adj. R² = 0.03
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 90.31 9.74 9.27
## PNN_pos_PV_intensity_IL_c -25.33 28.56 -0.89
## RearingMS -0.36 10.92 -0.03
## HousingSI -19.13 10.92 -1.75
## PNN_pos_PV_intensity_IL_c:RearingMS 41.96 32.99 1.27
## PNN_pos_PV_intensity_IL_c:HousingSI 41.53 35.09 1.18
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -34.82 44.03 -0.79
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PNN_pos_PV_intensity_IL_c 0.38
## RearingMS 0.97
## HousingSI 0.09
## PNN_pos_PV_intensity_IL_c:RearingMS 0.21
## PNN_pos_PV_intensity_IL_c:HousingSI 0.24
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.43
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 2668 2667.9 2.1664 0.1497
## Rearing 1 54 53.8 0.0437 0.8356
## Housing 1 3400 3400.0 2.7608 0.1053
## PNN_pos_PV_intensity_IL_c:Rearing 1 852 852.3 0.6921 0.4109
## PNN_pos_PV_intensity_IL_c:Housing 1 1040 1039.6 0.8442 0.3643
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 770 770.1 0.6253 0.4343
## Residuals 36 44335 1231.5
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -67.600 -17.003 -1.462 15.751 63.868
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 93.571 8.340 11.219
## PV_pos_PNN_intensity_IL_c -79.990 21.945 -3.645
## RearingMS -4.043 9.474 -0.427
## HousingSI -20.599 9.473 -2.174
## PV_pos_PNN_intensity_IL_c:RearingMS 97.449 37.311 2.612
## PV_pos_PNN_intensity_IL_c:HousingSI 112.099 32.659 3.432
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -154.774 50.682 -3.054
## Pr(>|t|)
## (Intercept) 2.63e-13 ***
## PV_pos_PNN_intensity_IL_c 0.000837 ***
## RearingMS 0.672086
## HousingSI 0.036328 *
## PV_pos_PNN_intensity_IL_c:RearingMS 0.013053 *
## PV_pos_PNN_intensity_IL_c:HousingSI 0.001520 **
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.004234 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.59 on 36 degrees of freedom
## Multiple R-squared: 0.3659, Adjusted R-squared: 0.2602
## F-statistic: 3.462 on 6 and 36 DF, p-value: 0.00838
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_poke_duration
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 3.46, p = 0.01
## R² = 0.37
## Adj. R² = 0.26
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- --------- ------- --------
## (Intercept) 93.57 8.34 11.22
## PV_pos_PNN_intensity_IL_c -79.99 21.94 -3.65
## RearingMS -4.04 9.47 -0.43
## HousingSI -20.60 9.47 -2.17
## PV_pos_PNN_intensity_IL_c:RearingMS 97.45 37.31 2.61
## PV_pos_PNN_intensity_IL_c:HousingSI 112.10 32.66 3.43
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -154.77 50.68 -3.05
## ------------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PV_pos_PNN_intensity_IL_c 0.00
## RearingMS 0.67
## HousingSI 0.04
## PV_pos_PNN_intensity_IL_c:RearingMS 0.01
## PV_pos_PNN_intensity_IL_c:HousingSI 0.00
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.00
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 1844 1844.3 1.9711 0.168900
## Rearing 1 6 6.4 0.0068 0.934498
## Housing 1 4757 4757.5 5.0845 0.030318 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 643 642.6 0.6867 0.412738
## PV_pos_PNN_intensity_IL_c:Housing 1 3457 3457.3 3.6949 0.062520 .
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 8726 8726.0 9.3259 0.004234 **
## Residuals 36 33684 935.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [[1]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 1727 1727.5 1.4188 0.24140
## Rearing 1 179 178.9 0.1469 0.70376
## Housing 1 3567 3567.2 2.9298 0.09556 .
## PV_count_PL_c:Rearing 1 136 136.0 0.1117 0.74017
## PV_count_PL_c:Housing 1 3594 3593.7 2.9515 0.09439 .
## PV_count_PL_c:Rearing:Housing 1 83 82.5 0.0678 0.79607
## Residuals 36 43833 1217.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[2]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 1496 1496.3 1.3371 0.25516
## Rearing 1 65 65.1 0.0582 0.81073
## Housing 1 3987 3987.2 3.5630 0.06716 .
## PV_intensity_PL_c:Rearing 1 3648 3648.0 3.2599 0.07936 .
## PV_intensity_PL_c:Housing 1 1997 1997.0 1.7846 0.18997
## PV_intensity_PL_c:Rearing:Housing 1 1639 1638.6 1.4643 0.23414
## Residuals 36 40286 1119.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[3]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 295 294.6 0.3135 0.579035
## Rearing 1 6 5.7 0.0061 0.938096
## Housing 1 4258 4257.9 4.5310 0.040200 *
## PNN_count_PL_c:Rearing 1 354 353.9 0.3766 0.543281
## PNN_count_PL_c:Housing 1 11764 11764.2 12.5187 0.001131 **
## PNN_count_PL_c:Rearing:Housing 1 2612 2611.9 2.7794 0.104162
## Residuals 36 33830 939.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 1515 1515.3 1.5427 0.22225
## Rearing 1 15 15.4 0.0157 0.90096
## Housing 1 4581 4581.4 4.6643 0.03753 *
## PNN_intensity_PL_c:Rearing 1 2336 2335.7 2.3780 0.13180
## PNN_intensity_PL_c:Housing 1 3965 3965.3 4.0371 0.05205 .
## PNN_intensity_PL_c:Rearing:Housing 1 5346 5345.5 5.4423 0.02536 *
## Residuals 36 35360 982.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[5]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 467 466.6 0.4731 0.495994
## Rearing 1 2 1.9 0.0020 0.964798
## Housing 1 4172 4171.5 4.2292 0.047037 *
## PNN_pos_PV_count_PL_c:Rearing 1 849 848.9 0.8607 0.359724
## PNN_pos_PV_count_PL_c:Housing 1 10117 10116.6 10.2566 0.002847 **
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 2004 2004.0 2.0317 0.162658
## Residuals 36 35509 986.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 4337 4337.2 3.6465 0.06418 .
## Rearing 1 188 187.8 0.1579 0.69348
## Housing 1 3721 3720.8 3.1283 0.08542 .
## PNN_pos_PV_intensity_PL_c:Rearing 1 936 936.1 0.7870 0.38089
## PNN_pos_PV_intensity_PL_c:Housing 1 1097 1097.0 0.9223 0.34327
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 21 21.4 0.0180 0.89402
## Residuals 36 42818 1189.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[7]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 1257 1256.9 1.2844 0.26457
## Rearing 1 6 6.1 0.0062 0.93773
## Housing 1 4711 4710.7 4.8138 0.03477 *
## PV_pos_PNN_intensity_PL_c:Rearing 1 1895 1895.5 1.9369 0.17254
## PV_pos_PNN_intensity_PL_c:Housing 1 5594 5594.3 5.7167 0.02216 *
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 4426 4425.7 4.5226 0.04037 *
## Residuals 36 35229 978.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[8]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 446 445.7 0.3702 0.54672
## Rearing 1 80 80.5 0.0669 0.79744
## Housing 1 3648 3648.4 3.0306 0.09025 .
## PV_count_IL_c:Rearing 1 32 31.9 0.0265 0.87162
## PV_count_IL_c:Housing 1 5572 5572.1 4.6285 0.03823 *
## PV_count_IL_c:Rearing:Housing 1 1 0.7 0.0006 0.98134
## Residuals 36 43339 1203.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[9]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 545 545.2 0.4641 0.50009
## Rearing 1 28 28.1 0.0239 0.87798
## Housing 1 3905 3905.4 3.3240 0.07659 .
## PV_intensity_IL_c:Rearing 1 1814 1814.3 1.5442 0.22202
## PV_intensity_IL_c:Housing 1 2483 2482.8 2.1132 0.15470
## PV_intensity_IL_c:Rearing:Housing 1 2046 2046.1 1.7415 0.19528
## Residuals 36 42297 1174.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 849 849.2 0.7837 0.38189
## Rearing 1 3 3.4 0.0031 0.95567
## Housing 1 4424 4424.1 4.0828 0.05081 .
## PNN_count_IL_c:Rearing 1 12 12.1 0.0112 0.91637
## PNN_count_IL_c:Housing 1 7726 7726.0 7.1300 0.01130 *
## PNN_count_IL_c:Rearing:Housing 1 1094 1094.4 1.0100 0.32161
## Residuals 36 39009 1083.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[11]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 3204 3204.4 3.3298 0.076343 .
## Rearing 1 11 10.9 0.0113 0.915874
## Housing 1 4295 4295.1 4.4631 0.041637 *
## PNN_intensity_IL_c:Rearing 1 1387 1387.0 1.4412 0.237782
## PNN_intensity_IL_c:Housing 1 1993 1992.6 2.0706 0.158805
## PNN_intensity_IL_c:Rearing:Housing 1 7584 7583.7 7.8804 0.008018 **
## Residuals 36 34645 962.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[12]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 2483 2483.3 2.5342 0.120150
## Rearing 1 36 36.1 0.0369 0.848792
## Housing 1 4735 4735.0 4.8319 0.034451 *
## PNN_pos_PV_count_IL_c:Rearing 1 8 8.1 0.0082 0.928279
## PNN_pos_PV_count_IL_c:Housing 1 7992 7992.0 8.1557 0.007084 **
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 2586 2586.4 2.6394 0.112969
## Residuals 36 35278 979.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[13]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 2668 2667.9 2.1664 0.1497
## Rearing 1 54 53.8 0.0437 0.8356
## Housing 1 3400 3400.0 2.7608 0.1053
## PNN_pos_PV_intensity_IL_c:Rearing 1 852 852.3 0.6921 0.4109
## PNN_pos_PV_intensity_IL_c:Housing 1 1040 1039.6 0.8442 0.3643
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 770 770.1 0.6253 0.4343
## Residuals 36 44335 1231.5
##
## [[14]]
## Analysis of Variance Table
##
## Response: head_poke_duration
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 1844 1844.3 1.9711 0.168900
## Rearing 1 6 6.4 0.0068 0.934498
## Housing 1 4757 4757.5 5.0845 0.030318 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 643 642.6 0.6867 0.412738
## PV_pos_PNN_intensity_IL_c:Housing 1 3457 3457.3 3.6949 0.062520 .
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 8726 8726.0 9.3259 0.004234 **
## Residuals 36 33684 935.7
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Male - Head pokes
# Returning summary, summ, and anova stats for every linear model in the malelm_head_pokes list
lapply(malelm_head_pokes, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.4279 -2.3455 0.0941 1.6927 11.5165
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.56642 1.07519 12.618 8.85e-15 ***
## PV_count_PL_c -0.11394 0.14020 -0.813 0.4218
## RearingMS -2.08134 1.15401 -1.804 0.0797 .
## HousingSI -0.38355 1.16445 -0.329 0.7438
## PV_count_PL_c:RearingMS -0.07832 0.19922 -0.393 0.6965
## PV_count_PL_c:HousingSI 0.19504 0.17468 1.117 0.2716
## PV_count_PL_c:RearingMS:HousingSI 0.21664 0.24359 0.889 0.3797
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.533 on 36 degrees of freedom
## Multiple R-squared: 0.2521, Adjusted R-squared: 0.1274
## F-statistic: 2.022 on 6 and 36 DF, p-value: 0.08795
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.02, p = 0.09
## R² = 0.25
## Adj. R² = 0.13
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 13.57 1.08 12.62 0.00
## PV_count_PL_c -0.11 0.14 -0.81 0.42
## RearingMS -2.08 1.15 -1.80 0.08
## HousingSI -0.38 1.16 -0.33 0.74
## PV_count_PL_c:RearingMS -0.08 0.20 -0.39 0.70
## PV_count_PL_c:HousingSI 0.20 0.17 1.12 0.27
## PV_count_PL_c:RearingMS:HousingSI 0.22 0.24 0.89 0.38
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 17.99 17.991 1.4418 0.2377
## Rearing 1 20.84 20.839 1.6700 0.2045
## Housing 1 5.10 5.096 0.4084 0.5268
## PV_count_PL_c:Rearing 1 6.15 6.152 0.4930 0.4871
## PV_count_PL_c:Housing 1 91.47 91.472 7.3303 0.0103 *
## PV_count_PL_c:Rearing:Housing 1 9.87 9.870 0.7910 0.3797
## Residuals 36 449.23 12.479
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.8772 -1.8581 0.0161 1.6236 8.0727
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.7694 0.9751 14.121 2.99e-16 ***
## PV_intensity_PL_c -4.3338 2.3579 -1.838 0.0743 .
## RearingMS -1.7814 1.0922 -1.631 0.1116
## HousingSI -0.9544 1.0928 -0.873 0.3882
## PV_intensity_PL_c:RearingMS 4.3222 3.3102 1.306 0.1999
## PV_intensity_PL_c:HousingSI 5.8839 3.0470 1.931 0.0614 .
## PV_intensity_PL_c:RearingMS:HousingSI -2.5346 4.1111 -0.617 0.5414
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.532 on 36 degrees of freedom
## Multiple R-squared: 0.2524, Adjusted R-squared: 0.1278
## F-statistic: 2.025 on 6 and 36 DF, p-value: 0.08752
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.03, p = 0.09
## R² = 0.25
## Adj. R² = 0.13
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.77 0.98 14.12 0.00
## PV_intensity_PL_c -4.33 2.36 -1.84 0.07
## RearingMS -1.78 1.09 -1.63 0.11
## HousingSI -0.95 1.09 -0.87 0.39
## PV_intensity_PL_c:RearingMS 4.32 3.31 1.31 0.20
## PV_intensity_PL_c:HousingSI 5.88 3.05 1.93 0.06
## PV_intensity_PL_c:RearingMS:HousingSI -2.53 4.11 -0.62 0.54
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 21.97 21.974 1.7616 0.19279
## Rearing 1 23.87 23.868 1.9134 0.17510
## Housing 1 6.14 6.138 0.4921 0.48751
## PV_intensity_PL_c:Rearing 1 33.69 33.693 2.7011 0.10899
## PV_intensity_PL_c:Housing 1 61.17 61.173 4.9040 0.03321 *
## PV_intensity_PL_c:Rearing:Housing 1 4.74 4.741 0.3801 0.54143
## Residuals 36 449.06 12.474
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.1909 -1.4559 -0.1217 1.9355 6.4541
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.5751 0.8197 16.561 < 2e-16 ***
## PNN_count_PL_c -0.4984 0.1213 -4.108 0.000220 ***
## RearingMS -1.5788 0.9282 -1.701 0.097570 .
## HousingSI -0.7121 0.9279 -0.767 0.447817
## PNN_count_PL_c:RearingMS 0.4546 0.1431 3.178 0.003045 **
## PNN_count_PL_c:HousingSI 0.6346 0.1582 4.012 0.000291 ***
## PNN_count_PL_c:RearingMS:HousingSI -0.3087 0.2062 -1.497 0.143044
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.019 on 36 degrees of freedom
## Multiple R-squared: 0.4538, Adjusted R-squared: 0.3627
## F-statistic: 4.984 on 6 and 36 DF, p-value: 0.0008316
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 4.98, p = 0.00
## R² = 0.45
## Adj. R² = 0.36
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 13.58 0.82 16.56 0.00
## PNN_count_PL_c -0.50 0.12 -4.11 0.00
## RearingMS -1.58 0.93 -1.70 0.10
## HousingSI -0.71 0.93 -0.77 0.45
## PNN_count_PL_c:RearingMS 0.45 0.14 3.18 0.00
## PNN_count_PL_c:HousingSI 0.63 0.16 4.01 0.00
## PNN_count_PL_c:RearingMS:HousingSI -0.31 0.21 -1.50 0.14
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 0.03 0.029 0.0032 0.95550
## Rearing 1 29.80 29.796 3.2694 0.07894 .
## Housing 1 6.72 6.719 0.7373 0.39621
## PNN_count_PL_c:Rearing 1 33.41 33.407 3.6656 0.06352 .
## PNN_count_PL_c:Housing 1 182.18 182.176 19.9893 7.47e-05 ***
## PNN_count_PL_c:Rearing:Housing 1 20.43 20.431 2.2418 0.14304
## Residuals 36 328.09 9.114
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.8683 -1.8803 -0.0919 1.7658 7.3642
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 14.0886 0.9644 14.609 < 2e-16 ***
## PNN_intensity_PL_c -8.7329 2.6441 -3.303 0.00217 **
## RearingMS -2.1046 1.1122 -1.892 0.06651 .
## HousingSI -1.2728 1.1079 -1.149 0.25821
## PNN_intensity_PL_c:RearingMS 9.4244 4.3161 2.184 0.03560 *
## PNN_intensity_PL_c:HousingSI 8.5615 3.6292 2.359 0.02387 *
## PNN_intensity_PL_c:RearingMS:HousingSI -10.9264 6.2418 -1.751 0.08855 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.463 on 36 degrees of freedom
## Multiple R-squared: 0.2814, Adjusted R-squared: 0.1616
## F-statistic: 2.349 on 6 and 36 DF, p-value: 0.05121
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.35, p = 0.05
## R² = 0.28
## Adj. R² = 0.16
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------ -------- ------
## (Intercept) 14.09 0.96 14.61 0.00
## PNN_intensity_PL_c -8.73 2.64 -3.30 0.00
## RearingMS -2.10 1.11 -1.89 0.07
## HousingSI -1.27 1.11 -1.15 0.26
## PNN_intensity_PL_c:RearingMS 9.42 4.32 2.18 0.04
## PNN_intensity_PL_c:HousingSI 8.56 3.63 2.36 0.02
## PNN_intensity_PL_c:RearingMS:HousingSI -10.93 6.24 -1.75 0.09
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 29.86 29.862 2.4905 0.12328
## Rearing 1 42.48 42.485 3.5433 0.06789 .
## Housing 1 9.94 9.943 0.8292 0.36855
## PNN_intensity_PL_c:Rearing 1 17.58 17.585 1.4666 0.23377
## PNN_intensity_PL_c:Housing 1 32.39 32.391 2.7015 0.10896
## PNN_intensity_PL_c:Rearing:Housing 1 36.74 36.742 3.0644 0.08855 .
## Residuals 36 431.64 11.990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.030 -1.737 -0.225 2.176 5.627
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 14.3610 0.8705 16.497 < 2e-16
## PNN_pos_PV_count_PL_c -0.7539 0.1823 -4.136 0.000203
## RearingMS -2.1193 0.9724 -2.179 0.035928
## HousingSI -1.2946 0.9743 -1.329 0.192305
## PNN_pos_PV_count_PL_c:RearingMS 0.7839 0.2635 2.975 0.005211
## PNN_pos_PV_count_PL_c:HousingSI 0.9193 0.2393 3.841 0.000478
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -0.5637 0.3514 -1.604 0.117416
##
## (Intercept) ***
## PNN_pos_PV_count_PL_c ***
## RearingMS *
## HousingSI
## PNN_pos_PV_count_PL_c:RearingMS **
## PNN_pos_PV_count_PL_c:HousingSI ***
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.081 on 36 degrees of freedom
## Multiple R-squared: 0.4311, Adjusted R-squared: 0.3363
## F-statistic: 4.547 on 6 and 36 DF, p-value: 0.001579
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 4.55, p = 0.00
## R² = 0.43
## Adj. R² = 0.34
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 14.36 0.87 16.50 0.00
## PNN_pos_PV_count_PL_c -0.75 0.18 -4.14 0.00
## RearingMS -2.12 0.97 -2.18 0.04
## HousingSI -1.29 0.97 -1.33 0.19
## PNN_pos_PV_count_PL_c:RearingMS 0.78 0.26 2.97 0.01
## PNN_pos_PV_count_PL_c:HousingSI 0.92 0.24 3.84 0.00
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI -0.56 0.35 -1.60 0.12
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 0.21 0.208 0.0219 0.8832126
## Rearing 1 29.92 29.923 3.1525 0.0842642 .
## Housing 1 6.66 6.663 0.7020 0.4076398
## PNN_pos_PV_count_PL_c:Rearing 1 60.46 60.462 6.3699 0.0161606 *
## PNN_pos_PV_count_PL_c:Housing 1 137.26 137.260 14.4608 0.0005339 ***
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 24.43 24.426 2.5733 0.1174161
## Residuals 36 341.71 9.492
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.5599 -2.1270 0.2559 1.4263 11.4438
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.56067 1.06097 12.781
## PNN_pos_PV_intensity_PL_c -0.73637 2.09756 -0.351
## RearingMS -1.70650 1.14579 -1.489
## HousingSI -0.79994 1.14871 -0.696
## PNN_pos_PV_intensity_PL_c:RearingMS 0.02332 2.58794 0.009
## PNN_pos_PV_intensity_PL_c:HousingSI 2.01069 2.50662 0.802
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 1.45254 3.15944 0.460
## Pr(>|t|)
## (Intercept) 6.04e-15 ***
## PNN_pos_PV_intensity_PL_c 0.728
## RearingMS 0.145
## HousingSI 0.491
## PNN_pos_PV_intensity_PL_c:RearingMS 0.993
## PNN_pos_PV_intensity_PL_c:HousingSI 0.428
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.648
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.63 on 36 degrees of freedom
## Multiple R-squared: 0.2103, Adjusted R-squared: 0.07869
## F-statistic: 1.598 on 6 and 36 DF, p-value: 0.1761
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.60, p = 0.18
## R² = 0.21
## Adj. R² = 0.08
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.56 1.06 12.78 0.00
## PNN_pos_PV_intensity_PL_c -0.74 2.10 -0.35 0.73
## RearingMS -1.71 1.15 -1.49 0.15
## HousingSI -0.80 1.15 -0.70 0.49
## PNN_pos_PV_intensity_PL_c:RearingMS 0.02 2.59 0.01 0.99
## PNN_pos_PV_intensity_PL_c:HousingSI 2.01 2.51 0.80 0.43
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 1.45 3.16 0.46 0.65
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 43.51 43.513 3.3025 0.07751 .
## Rearing 1 19.83 19.832 1.5052 0.22784
## Housing 1 5.30 5.304 0.4025 0.52979
## PNN_pos_PV_intensity_PL_c:Rearing 1 3.64 3.643 0.2765 0.60225
## PNN_pos_PV_intensity_PL_c:Housing 1 51.24 51.245 3.8893 0.05632 .
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 2.78 2.785 0.2114 0.64846
## Residuals 36 474.33 13.176
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.9010 -1.9983 0.1711 1.7259 7.1002
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.9382 0.9618 14.492
## PV_pos_PNN_intensity_PL_c -8.0804 2.4524 -3.295
## RearingMS -1.9877 1.1093 -1.792
## HousingSI -1.0675 1.1056 -0.966
## PV_pos_PNN_intensity_PL_c:RearingMS 8.2191 3.9805 2.065
## PV_pos_PNN_intensity_PL_c:HousingSI 8.2865 3.3723 2.457
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -8.3224 5.7706 -1.442
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## PV_pos_PNN_intensity_PL_c 0.00222 **
## RearingMS 0.08157 .
## HousingSI 0.34071
## PV_pos_PNN_intensity_PL_c:RearingMS 0.04620 *
## PV_pos_PNN_intensity_PL_c:HousingSI 0.01895 *
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.15789
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.47 on 36 degrees of freedom
## Multiple R-squared: 0.2783, Adjusted R-squared: 0.158
## F-statistic: 2.313 on 6 and 36 DF, p-value: 0.05433
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.31, p = 0.05
## R² = 0.28
## Adj. R² = 0.16
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.94 0.96 14.49 0.00
## PV_pos_PNN_intensity_PL_c -8.08 2.45 -3.29 0.00
## RearingMS -1.99 1.11 -1.79 0.08
## HousingSI -1.07 1.11 -0.97 0.34
## PV_pos_PNN_intensity_PL_c:RearingMS 8.22 3.98 2.06 0.05
## PV_pos_PNN_intensity_PL_c:HousingSI 8.29 3.37 2.46 0.02
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI -8.32 5.77 -1.44 0.16
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 23.67 23.673 1.9659 0.16945
## Rearing 1 39.33 39.330 3.2661 0.07909 .
## Housing 1 10.68 10.679 0.8869 0.35261
## PV_pos_PNN_intensity_PL_c:Rearing 1 20.76 20.762 1.7242 0.19747
## PV_pos_PNN_intensity_PL_c:Housing 1 47.66 47.660 3.9579 0.05429 .
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 25.05 25.047 2.0800 0.15789
## Residuals 36 433.50 12.042
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.4124 -1.7821 -0.1644 1.9662 11.3154
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.66601 1.07635 12.697 7.36e-15 ***
## PV_count_IL_c -0.15638 0.14158 -1.105 0.277
## RearingMS -1.69589 1.17451 -1.444 0.157
## HousingSI -0.48523 1.17434 -0.413 0.682
## PV_count_IL_c:RearingMS -0.07015 0.17919 -0.391 0.698
## PV_count_IL_c:HousingSI 0.22776 0.16985 1.341 0.188
## PV_count_IL_c:RearingMS:HousingSI 0.16389 0.23173 0.707 0.484
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.529 on 36 degrees of freedom
## Multiple R-squared: 0.2537, Adjusted R-squared: 0.1293
## F-statistic: 2.04 on 6 and 36 DF, p-value: 0.08544
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.04, p = 0.09
## R² = 0.25
## Adj. R² = 0.13
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 13.67 1.08 12.70 0.00
## PV_count_IL_c -0.16 0.14 -1.10 0.28
## RearingMS -1.70 1.17 -1.44 0.16
## HousingSI -0.49 1.17 -0.41 0.68
## PV_count_IL_c:RearingMS -0.07 0.18 -0.39 0.70
## PV_count_IL_c:HousingSI 0.23 0.17 1.34 0.19
## PV_count_IL_c:RearingMS:HousingSI 0.16 0.23 0.71 0.48
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 1.42 1.421 0.1141 0.737454
## Rearing 1 28.34 28.342 2.2762 0.140099
## Housing 1 7.24 7.239 0.5814 0.450728
## PV_count_IL_c:Rearing 1 0.20 0.195 0.0157 0.900996
## PV_count_IL_c:Housing 1 108.97 108.972 8.7518 0.005437 **
## PV_count_IL_c:Rearing:Housing 1 6.23 6.228 0.5002 0.483963
## Residuals 36 448.25 12.451
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -9.0945 -1.5897 0.4028 1.4040 7.3967
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.8295 0.9756 14.175 2.66e-16 ***
## PV_intensity_IL_c -7.4189 3.2598 -2.276 0.0289 *
## RearingMS -1.6795 1.0981 -1.529 0.1349
## HousingSI -1.0809 1.0983 -0.984 0.3316
## PV_intensity_IL_c:RearingMS 5.5668 4.0508 1.374 0.1779
## PV_intensity_IL_c:HousingSI 9.3078 3.8891 2.393 0.0220 *
## PV_intensity_IL_c:RearingMS:HousingSI -3.6177 5.1518 -0.702 0.4871
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.529 on 36 degrees of freedom
## Multiple R-squared: 0.2536, Adjusted R-squared: 0.1292
## F-statistic: 2.038 on 6 and 36 DF, p-value: 0.08569
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.04, p = 0.09
## R² = 0.25
## Adj. R² = 0.13
##
## Standard errors: OLS
## --------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.83 0.98 14.18 0.00
## PV_intensity_IL_c -7.42 3.26 -2.28 0.03
## RearingMS -1.68 1.10 -1.53 0.13
## HousingSI -1.08 1.10 -0.98 0.33
## PV_intensity_IL_c:RearingMS 5.57 4.05 1.37 0.18
## PV_intensity_IL_c:HousingSI 9.31 3.89 2.39 0.02
## PV_intensity_IL_c:RearingMS:HousingSI -3.62 5.15 -0.70 0.49
## --------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 1.66 1.662 0.1335 0.716995
## Rearing 1 28.61 28.615 2.2976 0.138305
## Housing 1 6.33 6.328 0.5081 0.480564
## PV_intensity_IL_c:Rearing 1 9.09 9.091 0.7299 0.398557
## PV_intensity_IL_c:Housing 1 100.46 100.464 8.0667 0.007372 **
## PV_intensity_IL_c:Rearing:Housing 1 6.14 6.141 0.4931 0.487059
## Residuals 36 448.35 12.454
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.8009 -1.4302 -0.1988 2.3700 6.2957
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.94561 0.91870 15.180 < 2e-16 ***
## PNN_count_IL_c -0.34308 0.09804 -3.500 0.00126 **
## RearingMS -1.95840 1.03288 -1.896 0.06600 .
## HousingSI -1.04674 1.03302 -1.013 0.31769
## PNN_count_IL_c:RearingMS 0.31215 0.12638 2.470 0.01838 *
## PNN_count_IL_c:HousingSI 0.42341 0.12738 3.324 0.00205 **
## PNN_count_IL_c:RearingMS:HousingSI -0.29483 0.19272 -1.530 0.13480
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.358 on 36 degrees of freedom
## Multiple R-squared: 0.3242, Adjusted R-squared: 0.2116
## F-statistic: 2.878 on 6 and 36 DF, p-value: 0.02144
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.88, p = 0.02
## R² = 0.32
## Adj. R² = 0.21
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 13.95 0.92 15.18 0.00
## PNN_count_IL_c -0.34 0.10 -3.50 0.00
## RearingMS -1.96 1.03 -1.90 0.07
## HousingSI -1.05 1.03 -1.01 0.32
## PNN_count_IL_c:RearingMS 0.31 0.13 2.47 0.02
## PNN_count_IL_c:HousingSI 0.42 0.13 3.32 0.00
## PNN_count_IL_c:RearingMS:HousingSI -0.29 0.19 -1.53 0.13
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 8.07 8.070 0.7157 0.403154
## Rearing 1 31.00 31.004 2.7497 0.105963
## Housing 1 7.94 7.938 0.7040 0.406984
## PNN_count_IL_c:Rearing 1 14.04 14.035 1.2447 0.271951
## PNN_count_IL_c:Housing 1 107.30 107.298 9.5160 0.003901 **
## PNN_count_IL_c:Rearing:Housing 1 26.39 26.388 2.3403 0.134804
## Residuals 36 405.92 11.276
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.1536 -2.3301 0.2905 1.6017 6.3656
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.8203 0.9930 13.918 4.65e-16 ***
## PNN_intensity_IL_c -6.9798 3.0229 -2.309 0.0268 *
## RearingMS -2.0553 1.1329 -1.814 0.0780 .
## HousingSI -0.9827 1.1333 -0.867 0.3916
## PNN_intensity_IL_c:RearingMS 5.8137 6.0150 0.967 0.3402
## PNN_intensity_IL_c:HousingSI 8.0920 4.7175 1.715 0.0949 .
## PNN_intensity_IL_c:RearingMS:HousingSI -12.2387 7.9488 -1.540 0.1324
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.607 on 36 degrees of freedom
## Multiple R-squared: 0.22, Adjusted R-squared: 0.09002
## F-statistic: 1.692 on 6 and 36 DF, p-value: 0.1511
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.69, p = 0.15
## R² = 0.22
## Adj. R² = 0.09
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------ -------- ------
## (Intercept) 13.82 0.99 13.92 0.00
## PNN_intensity_IL_c -6.98 3.02 -2.31 0.03
## RearingMS -2.06 1.13 -1.81 0.08
## HousingSI -0.98 1.13 -0.87 0.39
## PNN_intensity_IL_c:RearingMS 5.81 6.01 0.97 0.34
## PNN_intensity_IL_c:HousingSI 8.09 4.72 1.72 0.09
## PNN_intensity_IL_c:RearingMS:HousingSI -12.24 7.95 -1.54 0.13
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 42.19 42.188 3.2418 0.08016 .
## Rearing 1 38.56 38.564 2.9633 0.09376 .
## Housing 1 7.61 7.610 0.5847 0.44945
## PNN_intensity_IL_c:Rearing 1 0.04 0.044 0.0034 0.95394
## PNN_intensity_IL_c:Housing 1 12.90 12.895 0.9909 0.32617
## PNN_intensity_IL_c:Rearing:Housing 1 30.85 30.851 2.3706 0.13238
## Residuals 36 468.50 13.014
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.6058 -1.7618 -0.0127 1.9583 7.0032
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 14.6095 0.9257 15.783 < 2e-16
## PNN_pos_PV_count_IL_c -0.9124 0.2240 -4.073 0.000244
## RearingMS -2.5111 1.0212 -2.459 0.018879
## HousingSI -1.4749 1.0224 -1.443 0.157804
## PNN_pos_PV_count_IL_c:RearingMS 0.7678 0.3006 2.554 0.015028
## PNN_pos_PV_count_IL_c:HousingSI 1.0158 0.2763 3.677 0.000765
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.7881 0.4224 -1.866 0.070252
##
## (Intercept) ***
## PNN_pos_PV_count_IL_c ***
## RearingMS *
## HousingSI
## PNN_pos_PV_count_IL_c:RearingMS *
## PNN_pos_PV_count_IL_c:HousingSI ***
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.237 on 36 degrees of freedom
## Multiple R-squared: 0.372, Adjusted R-squared: 0.2673
## F-statistic: 3.554 on 6 and 36 DF, p-value: 0.007244
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 3.55, p = 0.01
## R² = 0.37
## Adj. R² = 0.27
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 14.61 0.93 15.78 0.00
## PNN_pos_PV_count_IL_c -0.91 0.22 -4.07 0.00
## RearingMS -2.51 1.02 -2.46 0.02
## HousingSI -1.47 1.02 -1.44 0.16
## PNN_pos_PV_count_IL_c:RearingMS 0.77 0.30 2.55 0.02
## PNN_pos_PV_count_IL_c:HousingSI 1.02 0.28 3.68 0.00
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI -0.79 0.42 -1.87 0.07
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 16.61 16.613 1.5854 0.216086
## Rearing 1 39.45 39.453 3.7652 0.060194 .
## Housing 1 9.26 9.255 0.8832 0.353577
## PNN_pos_PV_count_IL_c:Rearing 1 9.33 9.329 0.8903 0.351675
## PNN_pos_PV_count_IL_c:Housing 1 112.30 112.301 10.7172 0.002349 **
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 36.47 36.473 3.4807 0.070252 .
## Residuals 36 377.23 10.479
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.3274 -1.7121 0.4675 1.3530 10.0852
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.6852 1.0268 13.328
## PNN_pos_PV_intensity_IL_c -3.9598 3.0113 -1.315
## RearingMS -1.6142 1.1513 -1.402
## HousingSI -0.8732 1.1514 -0.758
## PNN_pos_PV_intensity_IL_c:RearingMS 2.8986 3.4775 0.834
## PNN_pos_PV_intensity_IL_c:HousingSI 6.0749 3.6990 1.642
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -1.8938 4.6422 -0.408
## Pr(>|t|)
## (Intercept) 1.73e-15 ***
## PNN_pos_PV_intensity_IL_c 0.197
## RearingMS 0.169
## HousingSI 0.453
## PNN_pos_PV_intensity_IL_c:RearingMS 0.410
## PNN_pos_PV_intensity_IL_c:HousingSI 0.109
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.686
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.7 on 36 degrees of freedom
## Multiple R-squared: 0.1797, Adjusted R-squared: 0.04294
## F-statistic: 1.314 on 6 and 36 DF, p-value: 0.2761
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.31, p = 0.28
## R² = 0.18
## Adj. R² = 0.04
##
## Standard errors: OLS
## ----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- ------- ------ -------- ------
## (Intercept) 13.69 1.03 13.33 0.00
## PNN_pos_PV_intensity_IL_c -3.96 3.01 -1.31 0.20
## RearingMS -1.61 1.15 -1.40 0.17
## HousingSI -0.87 1.15 -0.76 0.45
## PNN_pos_PV_intensity_IL_c:RearingMS 2.90 3.48 0.83 0.41
## PNN_pos_PV_intensity_IL_c:HousingSI 6.07 3.70 1.64 0.11
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI -1.89 4.64 -0.41 0.69
## ----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 4.97 4.974 0.3634 0.55038
## Rearing 1 27.90 27.897 2.0382 0.16201
## Housing 1 5.62 5.620 0.4106 0.52571
## PNN_pos_PV_intensity_IL_c:Rearing 1 1.07 1.072 0.0783 0.78120
## PNN_pos_PV_intensity_IL_c:Housing 1 66.07 66.074 4.8275 0.03453 *
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 2.28 2.278 0.1664 0.68572
## Residuals 36 492.74 13.687
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5.7512 -1.9335 0.2017 2.0105 6.9706
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.8308 0.9570 14.453
## PV_pos_PNN_intensity_IL_c -6.9372 2.5180 -2.755
## RearingMS -2.0548 1.0870 -1.890
## HousingSI -0.9356 1.0870 -0.861
## PV_pos_PNN_intensity_IL_c:RearingMS 7.0103 4.2811 1.638
## PV_pos_PNN_intensity_IL_c:HousingSI 8.8880 3.7473 2.372
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -12.7244 5.8153 -2.188
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## PV_pos_PNN_intensity_IL_c 0.00915 **
## RearingMS 0.06679 .
## HousingSI 0.39508
## PV_pos_PNN_intensity_IL_c:RearingMS 0.11024
## PV_pos_PNN_intensity_IL_c:HousingSI 0.02317 *
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.03524 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.51 on 36 degrees of freedom
## Multiple R-squared: 0.2617, Adjusted R-squared: 0.1386
## F-statistic: 2.127 on 6 and 36 DF, p-value: 0.07403
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: head_pokes
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.13, p = 0.07
## R² = 0.26
## Adj. R² = 0.14
##
## Standard errors: OLS
## -----------------------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------------------- -------- ------ -------- ------
## (Intercept) 13.83 0.96 14.45 0.00
## PV_pos_PNN_intensity_IL_c -6.94 2.52 -2.76 0.01
## RearingMS -2.05 1.09 -1.89 0.07
## HousingSI -0.94 1.09 -0.86 0.40
## PV_pos_PNN_intensity_IL_c:RearingMS 7.01 4.28 1.64 0.11
## PV_pos_PNN_intensity_IL_c:HousingSI 8.89 3.75 2.37 0.02
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI -12.72 5.82 -2.19 0.04
## -----------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 36.95 36.949 2.9994 0.09186 .
## Rearing 1 30.45 30.450 2.4718 0.12465
## Housing 1 10.50 10.502 0.8526 0.36198
## PV_pos_PNN_intensity_IL_c:Rearing 1 0.64 0.643 0.0522 0.82064
## PV_pos_PNN_intensity_IL_c:Housing 1 19.66 19.661 1.5960 0.21459
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 58.98 58.978 4.7877 0.03524 *
## Residuals 36 443.47 12.319
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [[1]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 17.99 17.991 1.4418 0.2377
## Rearing 1 20.84 20.839 1.6700 0.2045
## Housing 1 5.10 5.096 0.4084 0.5268
## PV_count_PL_c:Rearing 1 6.15 6.152 0.4930 0.4871
## PV_count_PL_c:Housing 1 91.47 91.472 7.3303 0.0103 *
## PV_count_PL_c:Rearing:Housing 1 9.87 9.870 0.7910 0.3797
## Residuals 36 449.23 12.479
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[2]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 21.97 21.974 1.7616 0.19279
## Rearing 1 23.87 23.868 1.9134 0.17510
## Housing 1 6.14 6.138 0.4921 0.48751
## PV_intensity_PL_c:Rearing 1 33.69 33.693 2.7011 0.10899
## PV_intensity_PL_c:Housing 1 61.17 61.173 4.9040 0.03321 *
## PV_intensity_PL_c:Rearing:Housing 1 4.74 4.741 0.3801 0.54143
## Residuals 36 449.06 12.474
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[3]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 0.03 0.029 0.0032 0.95550
## Rearing 1 29.80 29.796 3.2694 0.07894 .
## Housing 1 6.72 6.719 0.7373 0.39621
## PNN_count_PL_c:Rearing 1 33.41 33.407 3.6656 0.06352 .
## PNN_count_PL_c:Housing 1 182.18 182.176 19.9893 7.47e-05 ***
## PNN_count_PL_c:Rearing:Housing 1 20.43 20.431 2.2418 0.14304
## Residuals 36 328.09 9.114
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 29.86 29.862 2.4905 0.12328
## Rearing 1 42.48 42.485 3.5433 0.06789 .
## Housing 1 9.94 9.943 0.8292 0.36855
## PNN_intensity_PL_c:Rearing 1 17.58 17.585 1.4666 0.23377
## PNN_intensity_PL_c:Housing 1 32.39 32.391 2.7015 0.10896
## PNN_intensity_PL_c:Rearing:Housing 1 36.74 36.742 3.0644 0.08855 .
## Residuals 36 431.64 11.990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[5]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 0.21 0.208 0.0219 0.8832126
## Rearing 1 29.92 29.923 3.1525 0.0842642 .
## Housing 1 6.66 6.663 0.7020 0.4076398
## PNN_pos_PV_count_PL_c:Rearing 1 60.46 60.462 6.3699 0.0161606 *
## PNN_pos_PV_count_PL_c:Housing 1 137.26 137.260 14.4608 0.0005339 ***
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 24.43 24.426 2.5733 0.1174161
## Residuals 36 341.71 9.492
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 43.51 43.513 3.3025 0.07751 .
## Rearing 1 19.83 19.832 1.5052 0.22784
## Housing 1 5.30 5.304 0.4025 0.52979
## PNN_pos_PV_intensity_PL_c:Rearing 1 3.64 3.643 0.2765 0.60225
## PNN_pos_PV_intensity_PL_c:Housing 1 51.24 51.245 3.8893 0.05632 .
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 2.78 2.785 0.2114 0.64846
## Residuals 36 474.33 13.176
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[7]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 23.67 23.673 1.9659 0.16945
## Rearing 1 39.33 39.330 3.2661 0.07909 .
## Housing 1 10.68 10.679 0.8869 0.35261
## PV_pos_PNN_intensity_PL_c:Rearing 1 20.76 20.762 1.7242 0.19747
## PV_pos_PNN_intensity_PL_c:Housing 1 47.66 47.660 3.9579 0.05429 .
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 25.05 25.047 2.0800 0.15789
## Residuals 36 433.50 12.042
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[8]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 1.42 1.421 0.1141 0.737454
## Rearing 1 28.34 28.342 2.2762 0.140099
## Housing 1 7.24 7.239 0.5814 0.450728
## PV_count_IL_c:Rearing 1 0.20 0.195 0.0157 0.900996
## PV_count_IL_c:Housing 1 108.97 108.972 8.7518 0.005437 **
## PV_count_IL_c:Rearing:Housing 1 6.23 6.228 0.5002 0.483963
## Residuals 36 448.25 12.451
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[9]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 1.66 1.662 0.1335 0.716995
## Rearing 1 28.61 28.615 2.2976 0.138305
## Housing 1 6.33 6.328 0.5081 0.480564
## PV_intensity_IL_c:Rearing 1 9.09 9.091 0.7299 0.398557
## PV_intensity_IL_c:Housing 1 100.46 100.464 8.0667 0.007372 **
## PV_intensity_IL_c:Rearing:Housing 1 6.14 6.141 0.4931 0.487059
## Residuals 36 448.35 12.454
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 8.07 8.070 0.7157 0.403154
## Rearing 1 31.00 31.004 2.7497 0.105963
## Housing 1 7.94 7.938 0.7040 0.406984
## PNN_count_IL_c:Rearing 1 14.04 14.035 1.2447 0.271951
## PNN_count_IL_c:Housing 1 107.30 107.298 9.5160 0.003901 **
## PNN_count_IL_c:Rearing:Housing 1 26.39 26.388 2.3403 0.134804
## Residuals 36 405.92 11.276
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[11]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 42.19 42.188 3.2418 0.08016 .
## Rearing 1 38.56 38.564 2.9633 0.09376 .
## Housing 1 7.61 7.610 0.5847 0.44945
## PNN_intensity_IL_c:Rearing 1 0.04 0.044 0.0034 0.95394
## PNN_intensity_IL_c:Housing 1 12.90 12.895 0.9909 0.32617
## PNN_intensity_IL_c:Rearing:Housing 1 30.85 30.851 2.3706 0.13238
## Residuals 36 468.50 13.014
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[12]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 16.61 16.613 1.5854 0.216086
## Rearing 1 39.45 39.453 3.7652 0.060194 .
## Housing 1 9.26 9.255 0.8832 0.353577
## PNN_pos_PV_count_IL_c:Rearing 1 9.33 9.329 0.8903 0.351675
## PNN_pos_PV_count_IL_c:Housing 1 112.30 112.301 10.7172 0.002349 **
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 36.47 36.473 3.4807 0.070252 .
## Residuals 36 377.23 10.479
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[13]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 4.97 4.974 0.3634 0.55038
## Rearing 1 27.90 27.897 2.0382 0.16201
## Housing 1 5.62 5.620 0.4106 0.52571
## PNN_pos_PV_intensity_IL_c:Rearing 1 1.07 1.072 0.0783 0.78120
## PNN_pos_PV_intensity_IL_c:Housing 1 66.07 66.074 4.8275 0.03453 *
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 2.28 2.278 0.1664 0.68572
## Residuals 36 492.74 13.687
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[14]]
## Analysis of Variance Table
##
## Response: head_pokes
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 36.95 36.949 2.9994 0.09186 .
## Rearing 1 30.45 30.450 2.4718 0.12465
## Housing 1 10.50 10.502 0.8526 0.36198
## PV_pos_PNN_intensity_IL_c:Rearing 1 0.64 0.643 0.0522 0.82064
## PV_pos_PNN_intensity_IL_c:Housing 1 19.66 19.661 1.5960 0.21459
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 58.98 58.978 4.7877 0.03524 *
## Residuals 36 443.47 12.319
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Male - Time in the open
# Returning summary, summ, and anova stats for every linear model in the malelm_time_open list
lapply(malelm_time_open, function(x){
print(summary(x))
print(summ(x))
print(anova(x))
})
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -42.430 -18.464 2.095 14.378 51.721
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 27.02373 7.83211 3.450 0.00145 **
## PV_count_PL_c 0.09044 1.02130 0.089 0.92993
## RearingMS 7.14510 8.40628 0.850 0.40096
## HousingSI 16.60989 8.48236 1.958 0.05799 .
## PV_count_PL_c:RearingMS 0.19929 1.45124 0.137 0.89154
## PV_count_PL_c:HousingSI -0.80013 1.27246 -0.629 0.53344
## PV_count_PL_c:RearingMS:HousingSI -0.59539 1.77444 -0.336 0.73917
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.73 on 36 degrees of freedom
## Multiple R-squared: 0.2142, Adjusted R-squared: 0.08326
## F-statistic: 1.636 on 6 and 36 DF, p-value: 0.1657
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.64, p = 0.17
## R² = 0.21
## Adj. R² = 0.08
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 27.02 7.83 3.45 0.00
## PV_count_PL_c 0.09 1.02 0.09 0.93
## RearingMS 7.15 8.41 0.85 0.40
## HousingSI 16.61 8.48 1.96 0.06
## PV_count_PL_c:RearingMS 0.20 1.45 0.14 0.89
## PV_count_PL_c:HousingSI -0.80 1.27 -0.63 0.53
## PV_count_PL_c:RearingMS:HousingSI -0.60 1.77 -0.34 0.74
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 1827.9 1827.9 2.7605 0.10530
## Rearing 1 109.1 109.1 0.1648 0.68717
## Housing 1 3246.2 3246.2 4.9026 0.03324 *
## PV_count_PL_c:Rearing 1 58.5 58.5 0.0883 0.76801
## PV_count_PL_c:Housing 1 1182.3 1182.3 1.7855 0.18985
## PV_count_PL_c:Rearing:Housing 1 74.5 74.5 0.1126 0.73917
## Residuals 36 23837.5 662.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -49.038 -14.485 -1.076 16.191 46.837
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 26.413 7.235 3.651 0.000824 ***
## PV_intensity_PL_c 4.934 17.496 0.282 0.779546
## RearingMS 6.824 8.104 0.842 0.405306
## HousingSI 18.997 8.108 2.343 0.024776 *
## PV_intensity_PL_c:RearingMS -9.071 24.562 -0.369 0.714065
## PV_intensity_PL_c:HousingSI -18.380 22.609 -0.813 0.421575
## PV_intensity_PL_c:RearingMS:HousingSI 10.677 30.504 0.350 0.728369
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.21 on 36 degrees of freedom
## Multiple R-squared: 0.185, Adjusted R-squared: 0.04918
## F-statistic: 1.362 on 6 and 36 DF, p-value: 0.2562
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.36, p = 0.26
## R² = 0.19
## Adj. R² = 0.05
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------- -------- ------
## (Intercept) 26.41 7.24 3.65 0.00
## PV_intensity_PL_c 4.93 17.50 0.28 0.78
## RearingMS 6.82 8.10 0.84 0.41
## HousingSI 19.00 8.11 2.34 0.02
## PV_intensity_PL_c:RearingMS -9.07 24.56 -0.37 0.71
## PV_intensity_PL_c:HousingSI -18.38 22.61 -0.81 0.42
## PV_intensity_PL_c:RearingMS:HousingSI 10.68 30.50 0.35 0.73
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 1138.2 1138.2 1.6574 0.20618
## Rearing 1 261.8 261.8 0.3812 0.54083
## Housing 1 3612.0 3612.0 5.2595 0.02777 *
## PV_intensity_PL_c:Rearing 1 42.8 42.8 0.0623 0.80425
## PV_intensity_PL_c:Housing 1 473.6 473.6 0.6896 0.41178
## PV_intensity_PL_c:Rearing:Housing 1 84.1 84.1 0.1225 0.72837
## Residuals 36 24723.5 686.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -48.673 -16.232 0.688 16.683 43.977
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 26.4541 6.9076 3.830 0.000494 ***
## PNN_count_PL_c 1.0676 1.0223 1.044 0.303263
## RearingMS 6.7199 7.8213 0.859 0.395929
## HousingSI 18.3248 7.8189 2.344 0.024735 *
## PNN_count_PL_c:RearingMS -0.6257 1.2056 -0.519 0.606930
## PNN_count_PL_c:HousingSI -2.2139 1.3329 -1.661 0.105401
## PNN_count_PL_c:RearingMS:HousingSI 0.7925 1.7374 0.456 0.651031
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.44 on 36 degrees of freedom
## Multiple R-squared: 0.232, Adjusted R-squared: 0.104
## F-statistic: 1.813 on 6 and 36 DF, p-value: 0.1242
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.81, p = 0.12
## R² = 0.23
## Adj. R² = 0.10
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 26.45 6.91 3.83 0.00
## PNN_count_PL_c 1.07 1.02 1.04 0.30
## RearingMS 6.72 7.82 0.86 0.40
## HousingSI 18.32 7.82 2.34 0.02
## PNN_count_PL_c:RearingMS -0.63 1.21 -0.52 0.61
## PNN_count_PL_c:HousingSI -2.21 1.33 -1.66 0.11
## PNN_count_PL_c:RearingMS:HousingSI 0.79 1.74 0.46 0.65
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 136.3 136.3 0.2105 0.64911
## Rearing 1 399.3 399.3 0.6170 0.43729
## Housing 1 3617.9 3617.9 5.5904 0.02357 *
## PNN_count_PL_c:Rearing 1 37.2 37.2 0.0575 0.81180
## PNN_count_PL_c:Housing 1 2712.7 2712.7 4.1917 0.04797 *
## PNN_count_PL_c:Rearing:Housing 1 134.6 134.6 0.2081 0.65103
## Residuals 36 23298.0 647.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -43.925 -13.479 -2.349 20.603 44.729
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 24.139 7.218 3.344 0.00194 **
## PNN_intensity_PL_c 22.665 19.788 1.145 0.25961
## RearingMS 10.870 8.324 1.306 0.19986
## HousingSI 21.561 8.292 2.600 0.01343 *
## PNN_intensity_PL_c:RearingMS -18.120 32.302 -0.561 0.57831
## PNN_intensity_PL_c:HousingSI -18.288 27.161 -0.673 0.50505
## PNN_intensity_PL_c:RearingMS:HousingSI 52.203 46.714 1.118 0.27118
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.92 on 36 degrees of freedom
## Multiple R-squared: 0.203, Adjusted R-squared: 0.07019
## F-statistic: 1.528 on 6 and 36 DF, p-value: 0.1969
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.53, p = 0.20
## R² = 0.20
## Adj. R² = 0.07
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------- -------- ------
## (Intercept) 24.14 7.22 3.34 0.00
## PNN_intensity_PL_c 22.67 19.79 1.15 0.26
## RearingMS 10.87 8.32 1.31 0.20
## HousingSI 21.56 8.29 2.60 0.01
## PNN_intensity_PL_c:RearingMS -18.12 32.30 -0.56 0.58
## PNN_intensity_PL_c:HousingSI -18.29 27.16 -0.67 0.51
## PNN_intensity_PL_c:RearingMS:HousingSI 52.20 46.71 1.12 0.27
## -----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 603.2 603.2 0.8981 0.3496
## Rearing 1 631.7 631.7 0.9406 0.3386
## Housing 1 4036.8 4036.8 6.0108 0.0192 *
## PNN_intensity_PL_c:Rearing 1 48.3 48.3 0.0719 0.7901
## PNN_intensity_PL_c:Housing 1 0.2 0.2 0.0004 0.9847
## PNN_intensity_PL_c:Rearing:Housing 1 838.7 838.7 1.2488 0.2712
## Residuals 36 24177.2 671.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.970 -15.710 0.323 14.926 50.020
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 25.3087 7.3604 3.439 0.00149
## PNN_pos_PV_count_PL_c 1.3917 1.5413 0.903 0.37254
## RearingMS 8.5876 8.2223 1.044 0.30325
## HousingSI 18.8838 8.2385 2.292 0.02785
## PNN_pos_PV_count_PL_c:RearingMS -0.8516 2.2282 -0.382 0.70455
## PNN_pos_PV_count_PL_c:HousingSI -2.8053 2.0238 -1.386 0.17422
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI 1.2207 2.9710 0.411 0.68359
##
## (Intercept) **
## PNN_pos_PV_count_PL_c
## RearingMS
## HousingSI *
## PNN_pos_PV_count_PL_c:RearingMS
## PNN_pos_PV_count_PL_c:HousingSI
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.05 on 36 degrees of freedom
## Multiple R-squared: 0.1947, Adjusted R-squared: 0.06047
## F-statistic: 1.451 on 6 and 36 DF, p-value: 0.2229
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.45, p = 0.22
## R² = 0.19
## Adj. R² = 0.06
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 25.31 7.36 3.44 0.00
## PNN_pos_PV_count_PL_c 1.39 1.54 0.90 0.37
## RearingMS 8.59 8.22 1.04 0.30
## HousingSI 18.88 8.24 2.29 0.03
## PNN_pos_PV_count_PL_c:RearingMS -0.85 2.23 -0.38 0.70
## PNN_pos_PV_count_PL_c:HousingSI -2.81 2.02 -1.39 0.17
## PNN_pos_PV_count_PL_c:RearingMS:HousingSI 1.22 2.97 0.41 0.68
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 214.0 214.0 0.3153 0.57794
## Rearing 1 316.6 316.6 0.4666 0.49892
## Housing 1 3656.7 3656.7 5.3886 0.02604 *
## PNN_pos_PV_count_PL_c:Rearing 1 1.7 1.7 0.0025 0.96064
## PNN_pos_PV_count_PL_c:Housing 1 1602.5 1602.5 2.3614 0.13311
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 114.6 114.6 0.1688 0.68359
## Residuals 36 24430.0 678.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -38.292 -14.211 -1.694 14.786 46.648
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 26.9085 7.4871 3.594
## PNN_pos_PV_intensity_PL_c -0.1216 14.8022 -0.008
## RearingMS 6.5561 8.0857 0.811
## HousingSI 18.6143 8.1063 2.296
## PNN_pos_PV_intensity_PL_c:RearingMS -0.7379 18.2627 -0.040
## PNN_pos_PV_intensity_PL_c:HousingSI -11.2384 17.6889 -0.635
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI -1.2127 22.2957 -0.054
## Pr(>|t|)
## (Intercept) 0.000967 ***
## PNN_pos_PV_intensity_PL_c 0.993493
## RearingMS 0.422795
## HousingSI 0.027588 *
## PNN_pos_PV_intensity_PL_c:RearingMS 0.967996
## PNN_pos_PV_intensity_PL_c:HousingSI 0.529228
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.956925
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.62 on 36 degrees of freedom
## Multiple R-squared: 0.2213, Adjusted R-squared: 0.09157
## F-statistic: 1.706 on 6 and 36 DF, p-value: 0.1479
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.71, p = 0.15
## R² = 0.22
## Adj. R² = 0.09
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 26.91 7.49 3.59
## PNN_pos_PV_intensity_PL_c -0.12 14.80 -0.01
## RearingMS 6.56 8.09 0.81
## HousingSI 18.61 8.11 2.30
## PNN_pos_PV_intensity_PL_c:RearingMS -0.74 18.26 -0.04
## PNN_pos_PV_intensity_PL_c:HousingSI -11.24 17.69 -0.64
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI -1.21 22.30 -0.05
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PNN_pos_PV_intensity_PL_c 0.99
## RearingMS 0.42
## HousingSI 0.03
## PNN_pos_PV_intensity_PL_c:RearingMS 0.97
## PNN_pos_PV_intensity_PL_c:HousingSI 0.53
## PNN_pos_PV_intensity_PL_c:RearingMS:HousingSI 0.96
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 2225.3 2225.3 3.3915 0.07379 .
## Rearing 1 169.9 169.9 0.2589 0.61400
## Housing 1 3458.1 3458.1 5.2703 0.02762 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 2.7 2.7 0.0041 0.94944
## PNN_pos_PV_intensity_PL_c:Housing 1 856.9 856.9 1.3059 0.26068
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 1.9 1.9 0.0030 0.95693
## Residuals 36 23621.3 656.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.96 -14.45 -2.95 19.09 44.40
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 24.497 7.234 3.386
## PV_pos_PNN_intensity_PL_c 21.229 18.446 1.151
## RearingMS 10.606 8.344 1.271
## HousingSI 21.093 8.316 2.537
## PV_pos_PNN_intensity_PL_c:RearingMS -12.751 29.940 -0.426
## PV_pos_PNN_intensity_PL_c:HousingSI -17.463 25.365 -0.688
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 36.701 43.404 0.846
## Pr(>|t|)
## (Intercept) 0.00173 **
## PV_pos_PNN_intensity_PL_c 0.25737
## RearingMS 0.21184
## HousingSI 0.01567 *
## PV_pos_PNN_intensity_PL_c:RearingMS 0.67273
## PV_pos_PNN_intensity_PL_c:HousingSI 0.49558
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.40338
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.1 on 36 degrees of freedom
## Multiple R-squared: 0.1916, Adjusted R-squared: 0.05682
## F-statistic: 1.422 on 6 and 36 DF, p-value: 0.2333
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.42, p = 0.23
## R² = 0.19
## Adj. R² = 0.06
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 24.50 7.23 3.39
## PV_pos_PNN_intensity_PL_c 21.23 18.45 1.15
## RearingMS 10.61 8.34 1.27
## HousingSI 21.09 8.32 2.54
## PV_pos_PNN_intensity_PL_c:RearingMS -12.75 29.94 -0.43
## PV_pos_PNN_intensity_PL_c:HousingSI -17.46 25.37 -0.69
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 36.70 43.40 0.85
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PV_pos_PNN_intensity_PL_c 0.26
## RearingMS 0.21
## HousingSI 0.02
## PV_pos_PNN_intensity_PL_c:RearingMS 0.67
## PV_pos_PNN_intensity_PL_c:HousingSI 0.50
## PV_pos_PNN_intensity_PL_c:RearingMS:HousingSI 0.40
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 527.4 527.4 0.7741 0.38479
## Rearing 1 586.2 586.2 0.8605 0.35979
## Housing 1 4137.9 4137.9 6.0741 0.01862 *
## PV_pos_PNN_intensity_PL_c:Rearing 1 34.7 34.7 0.0510 0.82260
## PV_pos_PNN_intensity_PL_c:Housing 1 37.8 37.8 0.0555 0.81510
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 487.1 487.1 0.7150 0.40338
## Residuals 36 24524.9 681.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -40.222 -16.463 -1.716 17.960 51.741
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 26.5458 7.9109 3.356 0.00188 **
## PV_count_IL_c 0.5044 1.0406 0.485 0.63082
## RearingMS 6.3813 8.6324 0.739 0.46456
## HousingSI 16.5529 8.6312 1.918 0.06309 .
## PV_count_IL_c:RearingMS 0.2553 1.3170 0.194 0.84735
## PV_count_IL_c:HousingSI -0.8989 1.2484 -0.720 0.47612
## PV_count_IL_c:RearingMS:HousingSI -0.7443 1.7032 -0.437 0.66470
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.93 on 36 degrees of freedom
## Multiple R-squared: 0.2018, Adjusted R-squared: 0.06877
## F-statistic: 1.517 on 6 and 36 DF, p-value: 0.2006
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.52, p = 0.20
## R² = 0.20
## Adj. R² = 0.07
##
## Standard errors: OLS
## ----------------------------------------------------------------------
## Est. S.E. t val. p
## --------------------------------------- ------- ------ -------- ------
## (Intercept) 26.55 7.91 3.36 0.00
## PV_count_IL_c 0.50 1.04 0.48 0.63
## RearingMS 6.38 8.63 0.74 0.46
## HousingSI 16.55 8.63 1.92 0.06
## PV_count_IL_c:RearingMS 0.26 1.32 0.19 0.85
## PV_count_IL_c:HousingSI -0.90 1.25 -0.72 0.48
## PV_count_IL_c:RearingMS:HousingSI -0.74 1.70 -0.44 0.66
## ----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 592.9 592.9 0.8815 0.35406
## Rearing 1 208.0 208.0 0.3093 0.58155
## Housing 1 3343.4 3343.4 4.9707 0.03211 *
## PV_count_IL_c:Rearing 1 0.5 0.5 0.0007 0.97879
## PV_count_IL_c:Housing 1 1848.6 1848.6 2.7483 0.10605
## PV_count_IL_c:Rearing:Housing 1 128.5 128.5 0.1910 0.66470
## Residuals 36 24214.2 672.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -52.45 -19.38 0.23 17.44 46.27
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 26.256 7.437 3.531 0.00116 **
## PV_intensity_IL_c 6.613 24.848 0.266 0.79166
## RearingMS 7.259 8.370 0.867 0.39155
## HousingSI 19.105 8.372 2.282 0.02850 *
## PV_intensity_IL_c:RearingMS -4.276 30.877 -0.138 0.89063
## PV_intensity_IL_c:HousingSI -12.627 29.645 -0.426 0.67270
## PV_intensity_IL_c:RearingMS:HousingSI 7.479 39.270 0.190 0.85003
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.9 on 36 degrees of freedom
## Multiple R-squared: 0.1413, Adjusted R-squared: -0.001853
## F-statistic: 0.9871 on 6 and 36 DF, p-value: 0.4485
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 0.99, p = 0.45
## R² = 0.14
## Adj. R² = -0.00
##
## Standard errors: OLS
## ----------------------------------------------------------------------------
## Est. S.E. t val. p
## ------------------------------------------- -------- ------- -------- ------
## (Intercept) 26.26 7.44 3.53 0.00
## PV_intensity_IL_c 6.61 24.85 0.27 0.79
## RearingMS 7.26 8.37 0.87 0.39
## HousingSI 19.10 8.37 2.28 0.03
## PV_intensity_IL_c:RearingMS -4.28 30.88 -0.14 0.89
## PV_intensity_IL_c:HousingSI -12.63 29.64 -0.43 0.67
## PV_intensity_IL_c:RearingMS:HousingSI 7.48 39.27 0.19 0.85
## ----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 93.0 93.0 0.1285 0.72205
## Rearing 1 382.3 382.3 0.5283 0.47201
## Housing 1 3643.8 3643.8 5.0355 0.03108 *
## PV_intensity_IL_c:Rearing 1 6.3 6.3 0.0087 0.92616
## PV_intensity_IL_c:Housing 1 133.9 133.9 0.1850 0.66967
## PV_intensity_IL_c:Rearing:Housing 1 26.2 26.2 0.0363 0.85003
## Residuals 36 26050.5 723.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -49.034 -16.477 -3.217 16.902 47.549
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 25.76576 7.16245 3.597 0.000958 ***
## PNN_count_IL_c 0.50501 0.76431 0.661 0.512989
## RearingMS 7.59271 8.05259 0.943 0.352022
## HousingSI 19.00039 8.05367 2.359 0.023858 *
## PNN_count_IL_c:RearingMS 0.12628 0.98526 0.128 0.898732
## PNN_count_IL_c:HousingSI -1.02031 0.99312 -1.027 0.311094
## PNN_count_IL_c:RearingMS:HousingSI 0.02544 1.50252 0.017 0.986585
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.18 on 36 degrees of freedom
## Multiple R-squared: 0.1867, Adjusted R-squared: 0.05115
## F-statistic: 1.377 on 6 and 36 DF, p-value: 0.2502
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.38, p = 0.25
## R² = 0.19
## Adj. R² = 0.05
##
## Standard errors: OLS
## -----------------------------------------------------------------------
## Est. S.E. t val. p
## ---------------------------------------- ------- ------ -------- ------
## (Intercept) 25.77 7.16 3.60 0.00
## PNN_count_IL_c 0.51 0.76 0.66 0.51
## RearingMS 7.59 8.05 0.94 0.35
## HousingSI 19.00 8.05 2.36 0.02
## PNN_count_IL_c:RearingMS 0.13 0.99 0.13 0.90
## PNN_count_IL_c:HousingSI -1.02 0.99 -1.03 0.31
## PNN_count_IL_c:RearingMS:HousingSI 0.03 1.50 0.02 0.99
## -----------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 2.5 2.5 0.0037 0.95209
## Rearing 1 419.2 419.2 0.6116 0.43928
## Housing 1 3738.1 3738.1 5.4544 0.02521 *
## PNN_count_IL_c:Rearing 1 241.7 241.7 0.3527 0.55631
## PNN_count_IL_c:Housing 1 1262.0 1262.0 1.8414 0.18323
## PNN_count_IL_c:Rearing:Housing 1 0.2 0.2 0.0003 0.98658
## Residuals 36 24672.4 685.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -37.369 -13.396 -1.686 15.237 45.756
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 24.249 6.736 3.600 0.000951 ***
## PNN_intensity_IL_c 29.799 20.507 1.453 0.154867
## RearingMS 8.234 7.686 1.071 0.291165
## HousingSI 21.277 7.688 2.768 0.008864 **
## PNN_intensity_IL_c:RearingMS -51.973 40.805 -1.274 0.210939
## PNN_intensity_IL_c:HousingSI -29.371 32.003 -0.918 0.364853
## PNN_intensity_IL_c:RearingMS:HousingSI 111.587 53.924 2.069 0.045751 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.47 on 36 degrees of freedom
## Multiple R-squared: 0.2893, Adjusted R-squared: 0.1708
## F-statistic: 2.442 on 6 and 36 DF, p-value: 0.04394
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.44, p = 0.04
## R² = 0.29
## Adj. R² = 0.17
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val. p
## -------------------------------------------- -------- ------- -------- ------
## (Intercept) 24.25 6.74 3.60 0.00
## PNN_intensity_IL_c 29.80 20.51 1.45 0.15
## RearingMS 8.23 7.69 1.07 0.29
## HousingSI 21.28 7.69 2.77 0.01
## PNN_intensity_IL_c:RearingMS -51.97 40.81 -1.27 0.21
## PNN_intensity_IL_c:HousingSI -29.37 32.00 -0.92 0.36
## PNN_intensity_IL_c:RearingMS:HousingSI 111.59 53.92 2.07 0.05
## -----------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 1508.6 1508.6 2.5189 0.12123
## Rearing 1 618.5 618.5 1.0326 0.31632
## Housing 1 3832.2 3832.2 6.3985 0.01594 *
## PNN_intensity_IL_c:Rearing 1 161.5 161.5 0.2696 0.60680
## PNN_intensity_IL_c:Housing 1 89.7 89.7 0.1497 0.70108
## PNN_intensity_IL_c:Rearing:Housing 1 2564.6 2564.6 4.2821 0.04575 *
## Residuals 36 21561.0 598.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -55.481 -17.168 -2.518 12.777 49.046
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 24.45055 7.45330 3.280 0.00231
## PNN_pos_PV_count_IL_c 1.76695 1.80375 0.980 0.33382
## RearingMS 10.33167 8.22289 1.256 0.21704
## HousingSI 19.70492 8.23246 2.394 0.02202
## PNN_pos_PV_count_IL_c:RearingMS 0.05636 2.42055 0.023 0.98155
## PNN_pos_PV_count_IL_c:HousingSI -2.22045 2.22451 -0.998 0.32486
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI 1.25593 3.40142 0.369 0.71411
##
## (Intercept) **
## PNN_pos_PV_count_IL_c
## RearingMS
## HousingSI *
## PNN_pos_PV_count_IL_c:RearingMS
## PNN_pos_PV_count_IL_c:HousingSI
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.06 on 36 degrees of freedom
## Multiple R-squared: 0.1938, Adjusted R-squared: 0.05944
## F-statistic: 1.442 on 6 and 36 DF, p-value: 0.2258
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.44, p = 0.23
## R² = 0.19
## Adj. R² = 0.06
##
## Standard errors: OLS
## ------------------------------------------------------------------------------
## Est. S.E. t val. p
## ----------------------------------------------- ------- ------ -------- ------
## (Intercept) 24.45 7.45 3.28 0.00
## PNN_pos_PV_count_IL_c 1.77 1.80 0.98 0.33
## RearingMS 10.33 8.22 1.26 0.22
## HousingSI 19.70 8.23 2.39 0.02
## PNN_pos_PV_count_IL_c:RearingMS 0.06 2.42 0.02 0.98
## PNN_pos_PV_count_IL_c:HousingSI -2.22 2.22 -1.00 0.32
## PNN_pos_PV_count_IL_c:RearingMS:HousingSI 1.26 3.40 0.37 0.71
## ------------------------------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 255.0 255.0 0.3754 0.54394
## Rearing 1 558.8 558.8 0.8225 0.37047
## Housing 1 3947.1 3947.1 5.8101 0.02117 *
## PNN_pos_PV_count_IL_c:Rearing 1 327.8 327.8 0.4825 0.49174
## PNN_pos_PV_count_IL_c:Housing 1 697.9 697.9 1.0273 0.31756
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 92.6 92.6 0.1363 0.71411
## Residuals 36 24456.8 679.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -49.241 -17.683 0.254 17.972 51.855
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 26.744 7.405 3.612
## PNN_pos_PV_intensity_IL_c 1.873 21.716 0.086
## RearingMS 6.842 8.302 0.824
## HousingSI 18.416 8.303 2.218
## PNN_pos_PV_intensity_IL_c:RearingMS -2.728 25.078 -0.109
## PNN_pos_PV_intensity_IL_c:HousingSI -13.522 26.675 -0.507
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 6.296 33.477 0.188
## Pr(>|t|)
## (Intercept) 0.00092 ***
## PNN_pos_PV_intensity_IL_c 0.93174
## RearingMS 0.41530
## HousingSI 0.03295 *
## PNN_pos_PV_intensity_IL_c:RearingMS 0.91398
## PNN_pos_PV_intensity_IL_c:HousingSI 0.61531
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.85187
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.68 on 36 degrees of freedom
## Multiple R-squared: 0.1553, Adjusted R-squared: 0.01453
## F-statistic: 1.103 on 6 and 36 DF, p-value: 0.3796
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 1.10, p = 0.38
## R² = 0.16
## Adj. R² = 0.01
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 26.74 7.40 3.61
## PNN_pos_PV_intensity_IL_c 1.87 21.72 0.09
## RearingMS 6.84 8.30 0.82
## HousingSI 18.42 8.30 2.22
## PNN_pos_PV_intensity_IL_c:RearingMS -2.73 25.08 -0.11
## PNN_pos_PV_intensity_IL_c:HousingSI -13.52 26.68 -0.51
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 6.30 33.48 0.19
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PNN_pos_PV_intensity_IL_c 0.93
## RearingMS 0.42
## HousingSI 0.03
## PNN_pos_PV_intensity_IL_c:RearingMS 0.91
## PNN_pos_PV_intensity_IL_c:HousingSI 0.62
## PNN_pos_PV_intensity_IL_c:RearingMS:HousingSI 0.85
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 668.8 668.8 0.9396 0.33886
## Rearing 1 335.2 335.2 0.4709 0.49698
## Housing 1 3402.1 3402.1 4.7796 0.03538 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 28.3 28.3 0.0397 0.84315
## PNN_pos_PV_intensity_IL_c:Housing 1 252.0 252.0 0.3541 0.55554
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 25.2 25.2 0.0354 0.85187
## Residuals 36 25624.6 711.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Call:
## lm(formula = as.formula(paste(b, " ~ ", x, " + Rearing + Housing + Rearing:Housing:",
## x, " + ", x, ":Rearing + ", x, ":Housing", sep = "")), data = dataset_males)
##
## Residuals:
## Min 1Q Median 3Q Max
## -43.943 -12.172 -0.344 15.767 50.949
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 24.658 6.696 3.683
## PV_pos_PNN_intensity_IL_c 25.129 17.617 1.426
## RearingMS 9.754 7.605 1.282
## HousingSI 19.795 7.605 2.603
## PV_pos_PNN_intensity_IL_c:RearingMS -33.075 29.953 -1.104
## PV_pos_PNN_intensity_IL_c:HousingSI -37.816 26.219 -1.442
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 89.835 40.687 2.208
## Pr(>|t|)
## (Intercept) 0.000752 ***
## PV_pos_PNN_intensity_IL_c 0.162364
## RearingMS 0.207868
## HousingSI 0.013343 *
## PV_pos_PNN_intensity_IL_c:RearingMS 0.276823
## PV_pos_PNN_intensity_IL_c:HousingSI 0.157857
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.033704 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.56 on 36 degrees of freedom
## Multiple R-squared: 0.2844, Adjusted R-squared: 0.1651
## F-statistic: 2.384 on 6 and 36 DF, p-value: 0.04832
##
## MODEL INFO:
## Observations: 43
## Dependent Variable: time_open
## Type: OLS linear regression
##
## MODEL FIT:
## F(6,36) = 2.38, p = 0.05
## R² = 0.28
## Adj. R² = 0.17
##
## Standard errors: OLS
## -----------------------------------------------------------------------------
## Est. S.E. t val.
## --------------------------------------------------- -------- ------- --------
## (Intercept) 24.66 6.70 3.68
## PV_pos_PNN_intensity_IL_c 25.13 17.62 1.43
## RearingMS 9.75 7.61 1.28
## HousingSI 19.79 7.61 2.60
## PV_pos_PNN_intensity_IL_c:RearingMS -33.07 29.95 -1.10
## PV_pos_PNN_intensity_IL_c:HousingSI -37.82 26.22 -1.44
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 89.84 40.69 2.21
## -----------------------------------------------------------------------------
##
## ----------------------------------------------------------
## p
## --------------------------------------------------- ------
## (Intercept) 0.00
## PV_pos_PNN_intensity_IL_c 0.16
## RearingMS 0.21
## HousingSI 0.01
## PV_pos_PNN_intensity_IL_c:RearingMS 0.28
## PV_pos_PNN_intensity_IL_c:HousingSI 0.16
## PV_pos_PNN_intensity_IL_c:RearingMS:HousingSI 0.03
## ----------------------------------------------------------
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 785.4 785.4 1.3025 0.26130
## Rearing 1 429.0 429.0 0.7114 0.40454
## Housing 1 4116.3 4116.3 6.8261 0.01303 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 356.1 356.1 0.5905 0.44724
## PV_pos_PNN_intensity_IL_c:Housing 1 0.8 0.8 0.0013 0.97130
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 2939.8 2939.8 4.8751 0.03370 *
## Residuals 36 21708.8 603.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [[1]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_PL_c 1 1827.9 1827.9 2.7605 0.10530
## Rearing 1 109.1 109.1 0.1648 0.68717
## Housing 1 3246.2 3246.2 4.9026 0.03324 *
## PV_count_PL_c:Rearing 1 58.5 58.5 0.0883 0.76801
## PV_count_PL_c:Housing 1 1182.3 1182.3 1.7855 0.18985
## PV_count_PL_c:Rearing:Housing 1 74.5 74.5 0.1126 0.73917
## Residuals 36 23837.5 662.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[2]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_PL_c 1 1138.2 1138.2 1.6574 0.20618
## Rearing 1 261.8 261.8 0.3812 0.54083
## Housing 1 3612.0 3612.0 5.2595 0.02777 *
## PV_intensity_PL_c:Rearing 1 42.8 42.8 0.0623 0.80425
## PV_intensity_PL_c:Housing 1 473.6 473.6 0.6896 0.41178
## PV_intensity_PL_c:Rearing:Housing 1 84.1 84.1 0.1225 0.72837
## Residuals 36 24723.5 686.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[3]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_PL_c 1 136.3 136.3 0.2105 0.64911
## Rearing 1 399.3 399.3 0.6170 0.43729
## Housing 1 3617.9 3617.9 5.5904 0.02357 *
## PNN_count_PL_c:Rearing 1 37.2 37.2 0.0575 0.81180
## PNN_count_PL_c:Housing 1 2712.7 2712.7 4.1917 0.04797 *
## PNN_count_PL_c:Rearing:Housing 1 134.6 134.6 0.2081 0.65103
## Residuals 36 23298.0 647.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[4]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_PL_c 1 603.2 603.2 0.8981 0.3496
## Rearing 1 631.7 631.7 0.9406 0.3386
## Housing 1 4036.8 4036.8 6.0108 0.0192 *
## PNN_intensity_PL_c:Rearing 1 48.3 48.3 0.0719 0.7901
## PNN_intensity_PL_c:Housing 1 0.2 0.2 0.0004 0.9847
## PNN_intensity_PL_c:Rearing:Housing 1 838.7 838.7 1.2488 0.2712
## Residuals 36 24177.2 671.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[5]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_PL_c 1 214.0 214.0 0.3153 0.57794
## Rearing 1 316.6 316.6 0.4666 0.49892
## Housing 1 3656.7 3656.7 5.3886 0.02604 *
## PNN_pos_PV_count_PL_c:Rearing 1 1.7 1.7 0.0025 0.96064
## PNN_pos_PV_count_PL_c:Housing 1 1602.5 1602.5 2.3614 0.13311
## PNN_pos_PV_count_PL_c:Rearing:Housing 1 114.6 114.6 0.1688 0.68359
## Residuals 36 24430.0 678.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[6]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_PL_c 1 2225.3 2225.3 3.3915 0.07379 .
## Rearing 1 169.9 169.9 0.2589 0.61400
## Housing 1 3458.1 3458.1 5.2703 0.02762 *
## PNN_pos_PV_intensity_PL_c:Rearing 1 2.7 2.7 0.0041 0.94944
## PNN_pos_PV_intensity_PL_c:Housing 1 856.9 856.9 1.3059 0.26068
## PNN_pos_PV_intensity_PL_c:Rearing:Housing 1 1.9 1.9 0.0030 0.95693
## Residuals 36 23621.3 656.1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[7]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_PL_c 1 527.4 527.4 0.7741 0.38479
## Rearing 1 586.2 586.2 0.8605 0.35979
## Housing 1 4137.9 4137.9 6.0741 0.01862 *
## PV_pos_PNN_intensity_PL_c:Rearing 1 34.7 34.7 0.0510 0.82260
## PV_pos_PNN_intensity_PL_c:Housing 1 37.8 37.8 0.0555 0.81510
## PV_pos_PNN_intensity_PL_c:Rearing:Housing 1 487.1 487.1 0.7150 0.40338
## Residuals 36 24524.9 681.2
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[8]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_count_IL_c 1 592.9 592.9 0.8815 0.35406
## Rearing 1 208.0 208.0 0.3093 0.58155
## Housing 1 3343.4 3343.4 4.9707 0.03211 *
## PV_count_IL_c:Rearing 1 0.5 0.5 0.0007 0.97879
## PV_count_IL_c:Housing 1 1848.6 1848.6 2.7483 0.10605
## PV_count_IL_c:Rearing:Housing 1 128.5 128.5 0.1910 0.66470
## Residuals 36 24214.2 672.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[9]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_intensity_IL_c 1 93.0 93.0 0.1285 0.72205
## Rearing 1 382.3 382.3 0.5283 0.47201
## Housing 1 3643.8 3643.8 5.0355 0.03108 *
## PV_intensity_IL_c:Rearing 1 6.3 6.3 0.0087 0.92616
## PV_intensity_IL_c:Housing 1 133.9 133.9 0.1850 0.66967
## PV_intensity_IL_c:Rearing:Housing 1 26.2 26.2 0.0363 0.85003
## Residuals 36 26050.5 723.6
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[10]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_count_IL_c 1 2.5 2.5 0.0037 0.95209
## Rearing 1 419.2 419.2 0.6116 0.43928
## Housing 1 3738.1 3738.1 5.4544 0.02521 *
## PNN_count_IL_c:Rearing 1 241.7 241.7 0.3527 0.55631
## PNN_count_IL_c:Housing 1 1262.0 1262.0 1.8414 0.18323
## PNN_count_IL_c:Rearing:Housing 1 0.2 0.2 0.0003 0.98658
## Residuals 36 24672.4 685.3
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[11]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_intensity_IL_c 1 1508.6 1508.6 2.5189 0.12123
## Rearing 1 618.5 618.5 1.0326 0.31632
## Housing 1 3832.2 3832.2 6.3985 0.01594 *
## PNN_intensity_IL_c:Rearing 1 161.5 161.5 0.2696 0.60680
## PNN_intensity_IL_c:Housing 1 89.7 89.7 0.1497 0.70108
## PNN_intensity_IL_c:Rearing:Housing 1 2564.6 2564.6 4.2821 0.04575 *
## Residuals 36 21561.0 598.9
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[12]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_count_IL_c 1 255.0 255.0 0.3754 0.54394
## Rearing 1 558.8 558.8 0.8225 0.37047
## Housing 1 3947.1 3947.1 5.8101 0.02117 *
## PNN_pos_PV_count_IL_c:Rearing 1 327.8 327.8 0.4825 0.49174
## PNN_pos_PV_count_IL_c:Housing 1 697.9 697.9 1.0273 0.31756
## PNN_pos_PV_count_IL_c:Rearing:Housing 1 92.6 92.6 0.1363 0.71411
## Residuals 36 24456.8 679.4
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[13]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PNN_pos_PV_intensity_IL_c 1 668.8 668.8 0.9396 0.33886
## Rearing 1 335.2 335.2 0.4709 0.49698
## Housing 1 3402.1 3402.1 4.7796 0.03538 *
## PNN_pos_PV_intensity_IL_c:Rearing 1 28.3 28.3 0.0397 0.84315
## PNN_pos_PV_intensity_IL_c:Housing 1 252.0 252.0 0.3541 0.55554
## PNN_pos_PV_intensity_IL_c:Rearing:Housing 1 25.2 25.2 0.0354 0.85187
## Residuals 36 25624.6 711.8
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## [[14]]
## Analysis of Variance Table
##
## Response: time_open
## Df Sum Sq Mean Sq F value Pr(>F)
## PV_pos_PNN_intensity_IL_c 1 785.4 785.4 1.3025 0.26130
## Rearing 1 429.0 429.0 0.7114 0.40454
## Housing 1 4116.3 4116.3 6.8261 0.01303 *
## PV_pos_PNN_intensity_IL_c:Rearing 1 356.1 356.1 0.5905 0.44724
## PV_pos_PNN_intensity_IL_c:Housing 1 0.8 0.8 0.0013 0.97130
## PV_pos_PNN_intensity_IL_c:Rearing:Housing 1 2939.8 2939.8 4.8751 0.03370 *
## Residuals 36 21708.8 603.0
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1