## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 02 00 00 00 88 01 01 00 11 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 9a 01 01 00 12 00
## DEFINEDNAME: 8b 03 00 0e 02 00 00 00 00 00 00 00 00 00 00 5f 78 6c 66 6e 2e 42 41 48 54 54 45 58 54 1c 1d
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 02 00 00 00 88 01 01 00 11 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 9a 01 01 00 12 00
## DEFINEDNAME: 8b 03 00 0e 02 00 00 00 00 00 00 00 00 00 00 5f 78 6c 66 6e 2e 42 41 48 54 54 45 58 54 1c 1d
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 02 00 00 00 88 01 01 00 11 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 9a 01 01 00 12 00
## DEFINEDNAME: 8b 03 00 0e 02 00 00 00 00 00 00 00 00 00 00 5f 78 6c 66 6e 2e 42 41 48 54 54 45 58 54 1c 1d
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 02 00 00 00 88 01 01 00 11 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 9a 01 01 00 12 00
## DEFINEDNAME: 8b 03 00 0e 02 00 00 00 00 00 00 00 00 00 00 5f 78 6c 66 6e 2e 42 41 48 54 54 45 58 54 1c 1d
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 02 00 00 00 88 01 01 00 11 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 02 00 00 00 00 00 00 0d 3b 00 00 00 00 9a 01 01 00 12 00
## DEFINEDNAME: 8b 03 00 0e 02 00 00 00 00 00 00 00 00 00 00 5f 78 6c 66 6e 2e 42 41 48 54 54 45 58 54 1c 1d
##
## A B C D E F G H I J K L M N O P Q
## 31 69 58 28 1 11 42 47 18 3 3 156 13 1 62 1 17
Survival of song types vs acoustic parameters
##
## Confidence set for the best model
##
## Method: raw sum of model probabilities
##
## 95% confidence set:
## K AICc Delta_AICc AICcWt
## survival~modindx 3 55.56 0.00 0.49
## survival~modindx + meanSTsp$skew 4 58.21 2.65 0.13
## survival~modindx + meanSTsp$sp.ent 4 58.76 3.20 0.10
## survival~modindx + meanSTsp$dfrange 4 59.84 4.29 0.06
## survival~duration + meanSTsp$modindx 4 59.88 4.32 0.06
## survival~modindx + meanSTsp$meandom 4 59.89 4.33 0.06
## survival~skew 3 61.34 5.78 0.03
## survival~meandom 3 62.07 6.52 0.02
## survival~dfrange 3 62.12 6.56 0.02
##
## Model probabilities sum to 0.95
##
## Multimodel inference on "meanSTsp$modindx" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate
## survival~modindx 3 55.56 0.00 0.55 -48.69
## survival~duration + meanSTsp$modindx 4 59.88 4.32 0.06 -48.69
## survival~modindx + meanSTsp$skew 4 58.21 2.65 0.15 -48.81
## survival~modindx + meanSTsp$sp.ent 4 58.76 3.20 0.11 -58.06
## survival~modindx + meanSTsp$meandom 4 59.89 4.33 0.06 -48.68
## survival~modindx + meanSTsp$dfrange 4 59.84 4.29 0.06 -48.31
## SE
## survival~modindx 17.83
## survival~duration + meanSTsp$modindx 18.69
## survival~modindx + meanSTsp$skew 17.53
## survival~modindx + meanSTsp$sp.ent 20.42
## survival~modindx + meanSTsp$meandom 19.08
## survival~modindx + meanSTsp$dfrange 18.77
##
## Model-averaged estimate: -49.73
## Unconditional SE: 18.52
## 95% Unconditional confidence interval: -86.03, -13.42
##
## Multimodel inference on "meanSTsp$duration" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate
## survival~duration + meanSTsp$modindx 4 59.88 0 1 3.19
## SE
## survival~duration + meanSTsp$modindx 34.17
##
## Model-averaged estimate: 3.19
## Unconditional SE: 34.17
## 95% Unconditional confidence interval: -63.78, 70.16
##
## Multimodel inference on "meanSTsp$skew" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate SE
## survival~skew 3 61.34 3.13 0.17 -0.72 0.79
## survival~modindx + meanSTsp$skew 4 58.21 0.00 0.83 -0.73 0.62
##
## Model-averaged estimate: -0.73
## Unconditional SE: 0.66
## 95% Unconditional confidence interval: -2.02, 0.55
##
## Multimodel inference on "meanSTsp$sp.ent" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate
## survival~modindx + meanSTsp$sp.ent 4 58.76 0 1 13.42
## SE
## survival~modindx + meanSTsp$sp.ent 14.07
##
## Model-averaged estimate: 13.42
## Unconditional SE: 14.07
## 95% Unconditional confidence interval: -14.15, 40.99
##
## Multimodel inference on "meanSTsp$meandom" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate
## survival~meandom 3 62.07 2.18 0.25 0.32
## survival~modindx + meanSTsp$meandom 4 59.89 0.00 0.75 0.00
## SE
## survival~meandom 0.74
## survival~modindx + meanSTsp$meandom 0.62
##
## Model-averaged estimate: 0.08
## Unconditional SE: 0.67
## 95% Unconditional confidence interval: -1.23, 1.39
##
## Multimodel inference on "meanSTsp$dfrange" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate
## survival~dfrange 3 62.12 2.27 0.24 0.08
## survival~modindx + meanSTsp$dfrange 4 59.84 0.00 0.76 0.03
## SE
## survival~dfrange 0.20
## survival~modindx + meanSTsp$dfrange 0.17
##
## Model-averaged estimate: 0.04
## Unconditional SE: 0.18
## 95% Unconditional confidence interval: -0.31, 0.39
Survival of song types vs acoustic parameters
##
## Confidence set for the best model
##
## Method: raw sum of model probabilities
##
## 95% confidence set:
## K AICc Delta_AICc AICcWt
## reproduction~skew 3 -4.84 0.00 0.29
## reproduction~dfrange 3 -3.29 1.54 0.13
## reproduction~modindx + meanSTsp$skew 4 -2.84 2.00 0.11
## reproduction~modindx 3 -2.63 2.21 0.10
## reproduction~modindx + meanSTsp$sp.ent 4 -2.04 2.79 0.07
## reproduction~duration + meanSTsp$skew 4 -1.80 3.04 0.06
## reproduction~sp.ent 3 -1.77 3.07 0.06
## reproduction~duration 3 -1.22 3.62 0.05
## reproduction~meandom 3 -1.01 3.82 0.04
## reproduction~modindx + meanSTsp$dfrange 4 -0.49 4.34 0.03
## reproduction~duration + meanSTsp$dfrange 4 0.82 5.65 0.02
##
## Model probabilities sum to 0.96
##
## Multimodel inference on "meanSTsp$modindx" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate
## reproduction~modindx 3 -2.63 0.21 0.31 -2.33
## reproduction~modindx + meanSTsp$skew 4 -2.84 0.00 0.35 -2.35
## reproduction~modindx + meanSTsp$sp.ent 4 -2.04 0.80 0.23 -4.06
## reproduction~modindx + meanSTsp$dfrange 4 -0.49 2.35 0.11 -2.06
## SE
## reproduction~modindx 1.90
## reproduction~modindx + meanSTsp$skew 1.67
## reproduction~modindx + meanSTsp$sp.ent 1.97
## reproduction~modindx + meanSTsp$dfrange 1.84
##
## Model-averaged estimate: -2.71
## Unconditional SE: 1.98
## 95% Unconditional confidence interval: -6.6, 1.18
##
## Multimodel inference on "meanSTsp$duration" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt
## reproduction~duration 3 -1.22 0.58 0.37
## reproduction~duration + meanSTsp$skew 4 -1.80 0.00 0.50
## reproduction~duration + meanSTsp$dfrange 4 0.82 2.61 0.13
## Estimate SE
## reproduction~duration 1.69 3.67
## reproduction~duration + meanSTsp$skew 3.35 3.28
## reproduction~duration + meanSTsp$dfrange 1.46 3.53
##
## Model-averaged estimate: 2.49
## Unconditional SE: 3.57
## 95% Unconditional confidence interval: -4.51, 9.48
##
## Multimodel inference on "meanSTsp$skew" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate
## reproduction~skew 3 -4.84 0.00 0.63 -0.12
## reproduction~duration + meanSTsp$skew 4 -1.80 3.04 0.14 -0.14
## reproduction~modindx + meanSTsp$skew 4 -2.84 2.00 0.23 -0.12
## SE
## reproduction~skew 0.06
## reproduction~duration + meanSTsp$skew 0.06
## reproduction~modindx + meanSTsp$skew 0.06
##
## Model-averaged estimate: -0.12
## Unconditional SE: 0.06
## 95% Unconditional confidence interval: -0.25, 0
##
## Multimodel inference on "meanSTsp$sp.ent" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate
## reproduction~sp.ent 3 -1.77 0.27 0.47 1.13
## reproduction~modindx + meanSTsp$sp.ent 4 -2.04 0.00 0.53 2.48
## SE
## reproduction~sp.ent 1.35
## reproduction~modindx + meanSTsp$sp.ent 1.36
##
## Model-averaged estimate: 1.85
## Unconditional SE: 1.51
## 95% Unconditional confidence interval: -1.11, 4.82
##
## Multimodel inference on "meanSTsp$meandom" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt Estimate SE
## reproduction~meandom 3 -1.01 0 1 -0.01 0.07
##
## Model-averaged estimate: -0.01
## Unconditional SE: 0.07
## 95% Unconditional confidence interval: -0.14, 0.12
##
## Multimodel inference on "meanSTsp$dfrange" based on AICc
##
## AICc table used to obtain model-averaged estimate:
##
## K AICc Delta_AICc AICcWt
## reproduction~dfrange 3 -3.29 0.00 0.73
## reproduction~duration + meanSTsp$dfrange 4 0.82 4.11 0.09
## reproduction~modindx + meanSTsp$dfrange 4 -0.49 2.80 0.18
## Estimate SE
## reproduction~dfrange 0.02 0.02
## reproduction~duration + meanSTsp$dfrange 0.02 0.02
## reproduction~modindx + meanSTsp$dfrange 0.02 0.02
##
## Model-averaged estimate: 0.02
## Unconditional SE: 0.02
## 95% Unconditional confidence interval: -0.01, 0.06
Song type fitness vs morphology
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 00 00 00 00 82 01 00 00 e3 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 00 00 00 00 82 01 00 00 e3 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 00 00 00 00 82 01 00 00 e3 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 00 00 00 00 82 01 00 00 e3 00
## DEFINEDNAME: 21 00 00 01 0b 00 00 00 01 00 00 00 00 00 00 0d 3b 00 00 00 00 82 01 00 00 e3 00
## [1] 57
## [1] 54
## Importance of components:
## PC1 PC2 PC3 PC4
## Standard deviation 0.0497 0.04035 0.03906 0.02126
## Proportion of Variance 0.4065 0.26802 0.25112 0.07438
## Cumulative Proportion 0.4065 0.67450 0.92562 1.00000
## [1] "test on survival"
##
## Call:
## lm(formula = surv ~ bodysize/song.type, data = STmorph)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.4160 -1.0569 0.4083 0.9212 0.9850
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.0859 0.1734 35.090 < 2e-16 ***
## bodysize 14.8697 16.7889 0.886 0.38219
## bodysize:song.typeH -14.8508 20.8650 -0.712 0.48162
## bodysize:song.typeL -15.8916 17.6632 -0.900 0.37480
## bodysize:song.typeM 105.2546 35.2028 2.990 0.00524 **
## bodysize:song.typeN 235.8280 54.7778 4.305 0.00014 ***
## bodysize:song.typeO -11.7688 17.3139 -0.680 0.50142
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.051 on 33 degrees of freedom
## Multiple R-squared: 0.5309, Adjusted R-squared: 0.4456
## F-statistic: 6.225 on 6 and 33 DF, p-value: 0.0001899
##
## Call:
## lm(formula = surv ~ bodysize2/song.type, data = STmorph)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.43905 -0.97070 0.06231 0.64267 1.66417
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.978 0.174 34.351 < 2e-16 ***
## bodysize2 12.546 8.492 1.477 0.149065
## bodysize2:song.typeH -2.773 13.612 -0.204 0.839823
## bodysize2:song.typeL 1.522 10.902 0.140 0.889851
## bodysize2:song.typeM -87.646 20.389 -4.299 0.000143 ***
## bodysize2:song.typeN -293.655 55.307 -5.310 7.4e-06 ***
## bodysize2:song.typeO -12.854 13.096 -0.981 0.333497
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9448 on 33 degrees of freedom
## Multiple R-squared: 0.6212, Adjusted R-squared: 0.5524
## F-statistic: 9.021 on 6 and 33 DF, p-value: 7.392e-06
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## Warning in mean.default(X[[i]], ...): argument is not numeric or logical:
## returning NA
## [1] "test on reproduction"
##
## Call:
## lm(formula = rep ~ bodysize/song.type, data = STmorph)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.18359 -0.08661 0.04242 0.09570 0.10233
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.38852 0.01861 20.879 < 2e-16 ***
## bodysize 1.31357 1.80134 0.729 0.47101
## bodysize:song.typeH -1.31038 2.23868 -0.585 0.56230
## bodysize:song.typeL -1.41973 1.89516 -0.749 0.45908
## bodysize:song.typeM 7.50135 3.77704 1.986 0.05539 .
## bodysize:song.typeN 17.20581 5.87733 2.927 0.00615 **
## bodysize:song.typeO -1.05946 1.85768 -0.570 0.57233
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1128 on 33 degrees of freedom
## Multiple R-squared: 0.3504, Adjusted R-squared: 0.2323
## F-statistic: 2.967 on 6 and 33 DF, p-value: 0.01985
##
## Call:
## lm(formula = rep ~ bodysize2/song.type, data = STmorph)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.255311 -0.078881 0.006391 0.065914 0.170681
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.37869 0.01848 20.493 < 2e-16 ***
## bodysize2 1.10419 0.90173 1.225 0.229428
## bodysize2:song.typeH 0.62976 1.44528 0.436 0.665863
## bodysize2:song.typeL 0.33865 1.15760 0.293 0.771704
## bodysize2:song.typeM -6.57864 2.16485 -3.039 0.004621 **
## bodysize2:song.typeN -21.76391 5.87249 -3.706 0.000768 ***
## bodysize2:song.typeO -1.12906 1.39056 -0.812 0.422641
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1003 on 33 degrees of freedom
## Multiple R-squared: 0.4864, Adjusted R-squared: 0.393
## F-statistic: 5.208 on 6 and 33 DF, p-value: 0.0007264
Relationship to distance between males
## year mantel.R p
## 1 2011 0.031302148 0.377
## 2 2012 -0.008977903 0.476
## 3 2013 0.306437804 0.025
## 4 2014 0.195055245 0.087
## 5 2015 0.405330250 0.007
## 6 2016 0.452840307 0.100