#Set directory and defining data source
setwd("C:/Users/Paul/Documents/Rwork")
deerproject1=read.csv("deerExcldata2.csv",header=TRUE)
print(deerproject1)
##    ï..sample..      Site Deer Honeysuckle   t1   t2   t3 Nmin NetN
## 1            1    Kramer  Con          NH 1.55 1.16 2.17 1.39 1.32
## 2            2    Kramer  Con          H  1.86 1.18 1.75 1.24 1.32
## 3            5 Rhinehart  Con          NH 1.71 1.31 1.82 0.84 0.88
## 4            6 Rhinehart  Con          H  2.29 1.43 1.83 0.96 0.99
## 5            9    Bishop  Con          NH 1.31 0.90 2.10 1.30 1.34
## 6           10    Bishop  Con          H  1.52 1.16 1.74 1.57 1.64
## 7           13   Western  Con          NH 1.78 1.15 2.00 1.36 1.40
## 8           14   Western  Con          H  1.73 1.18 1.99 1.16 1.22
## 9           17   College  Con          NH 1.62 1.14 1.92 1.04 1.13
## 10          18   College  Con          H  2.08 1.45   NA 2.79 2.00
## 11           3    Kramer Excl          NH 2.03 0.90 1.74 1.15 1.17
## 12           4    Kramer Excl          H  1.28 0.88 1.65 0.85 1.16
## 13           7 Rhinehart Excl          NH 2.58 1.15 0.97 0.67 0.76
## 14           8 Rhinehart Excl          H  2.32 1.35 1.67 0.88 0.98
## 15          11    Bishop Excl          NH 1.96 0.93   NA 1.06 1.10
## 16          12    Bishop Excl          H  1.73 0.99 1.76 1.86 1.63
## 17          15   Western Excl          NH 2.02 1.43 1.86 1.05 0.82
## 18          16   Western Excl          H  1.56 1.18 2.06 1.02 0.70
## 19          19   College Excl          NH 2.10 1.65 1.68 1.41 1.21
## 20          20   College Excl          H  2.20 1.72 1.60 1.45 1.37
Nmin.aov1 <- aov(Nmin~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=deerproject1)
summary(Nmin.aov1)
## 
## Error: Site
##           Df Sum Sq Mean Sq F value Pr(>F)
## Residuals  4  1.627  0.4067               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)
## Deer              1 0.2531 0.25312   1.716  0.215
## Honeysuckle       1 0.3150 0.31501   2.135  0.170
## Deer:Honeysuckle  1 0.0572 0.05725   0.388  0.545
## Residuals        12 1.7704 0.14753
t1.aov1 <- aov(t1~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=deerproject1)
summary(t1.aov1)
## 
## Error: Site
##           Df Sum Sq Mean Sq F value Pr(>F)
## Residuals  4 0.9831  0.2458               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)   
## Deer              1 0.2714  0.2714   6.224 0.0282 * 
## Honeysuckle       1 0.0004  0.0004   0.009 0.9248   
## Deer:Honeysuckle  1 0.4836  0.4836  11.089 0.0060 **
## Residuals        12 0.5233  0.0436                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
NetN.aov1 <- aov(NetN~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=deerproject1)
summary(NetN.aov1)
## 
## Error: Site
##           Df Sum Sq Mean Sq F value Pr(>F)
## Residuals  4 0.8832  0.2208               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)  
## Deer              1 0.2738 0.27378   5.505 0.0370 *
## Honeysuckle       1 0.1767 0.17672   3.553 0.0839 .
## Deer:Honeysuckle  1 0.0051 0.00512   0.103 0.7538  
## Residuals        12 0.5968 0.04973                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
t2.aov1 <- aov(t2~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=deerproject1)
summary(t2.aov1)
## 
## Error: Site
##           Df Sum Sq Mean Sq F value Pr(>F)
## Residuals  4 0.6705  0.1676               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)
## Deer              1 0.0007 0.00072   0.024  0.879
## Honeysuckle       1 0.0320 0.03200   1.070  0.321
## Deer:Honeysuckle  1 0.0231 0.02312   0.773  0.397
## Residuals        12 0.3590 0.02991
t3.aov1 <- aov(t3~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=deerproject1)
summary(t3.aov1)
## 
## Error: Site
##                  Df Sum Sq Mean Sq F value Pr(>F)
## Deer              1 0.0267 0.02667   0.159  0.729
## Deer:Honeysuckle  1 0.0002 0.00022   0.001  0.974
## Residuals         2 0.3354 0.16770               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)  
## Deer              1 0.2784 0.27839   7.014 0.0244 *
## Honeysuckle       1 0.0000 0.00000   0.000 0.9949  
## Deer:Honeysuckle  1 0.1459 0.14585   3.675 0.0842 .
## Residuals        10 0.3969 0.03969                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#Modeling response variables-Nmin,t1.t2,t3,NetN. Setting others as explanatory and random variables
       #Site as random effect
dproject=read.csv("dpdata.csv",header=TRUE)
print(dproject)
##    ï..No      Site Deer Honeysuckle   t1   t2   t3 Nmin NetN
## 1      1    Kramer  Con          NH 2.99 2.25 2.17 1.39 1.32
## 2      2    Kramer  Con          H  3.62 2.31 1.75 1.24 1.32
## 3      3    Kramer Excl          NH 3.98 1.77 1.74 1.15 1.17
## 4      4    Kramer Excl          H  3.02 2.07 1.65 0.85 1.16
## 5      5 Rhinehart  Con          NH 3.47 2.67 1.82 0.84 0.88
## 6      6 Rhinehart  Con          H  4.46 2.79 1.83 0.96 0.99
## 7      7 Rhinehart Excl          NH 5.18 2.31 0.97 0.67 0.76
## 8      8 Rhinehart Excl          H  4.73 2.76 1.67 0.88 0.98
## 9      9    Bishop  Con          NH 2.66 1.83 2.10 1.30 1.34
## 10    10    Bishop  Con          H  3.02 2.31 1.74 1.57 1.64
## 11    11    Bishop Excl          NH 4.10 1.95   NA 1.06 1.10
## 12    12    Bishop Excl          H  3.59 2.07 1.76 1.86 1.63
## 13    13   Western  Con          NH 3.62 2.34 2.00 1.36 1.40
## 14    14   Western  Con          H  3.38 2.31 1.99 1.16 1.22
## 15    15   Western Excl          NH 4.01 2.85 1.86 1.05 0.82
## 16    16   Western Excl          H  3.17 2.40 2.06 1.02 0.70
## 17    17   College  Con          NH 3.29 2.34 1.92 1.04 1.13
## 18    18   College  Con          H  4.13 2.88   NA 2.79 2.00
## 19    19   College Excl          NH 4.10 3.24 1.68 1.41 1.21
## 20    20   College Excl          H  4.34 3.42 1.60 1.45 1.37
Nmin.aov1 <- aov(Nmin~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=dproject)
summary(Nmin.aov1)
## 
## Error: Site
##           Df Sum Sq Mean Sq F value Pr(>F)
## Residuals  4  1.627  0.4067               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)
## Deer              1 0.2531 0.25312   1.716  0.215
## Honeysuckle       1 0.3150 0.31501   2.135  0.170
## Deer:Honeysuckle  1 0.0572 0.05725   0.388  0.545
## Residuals        12 1.7704 0.14753
t1.aov1 <- aov(t1~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=dproject)
summary(t1.aov1)
## 
## Error: Site
##           Df Sum Sq Mean Sq F value Pr(>F)
## Residuals  4  3.516  0.8789               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value  Pr(>F)   
## Deer              1 1.5568  1.5568  11.340 0.00560 **
## Honeysuckle       1 0.0002  0.0002   0.001 0.97171   
## Deer:Honeysuckle  1 1.3005  1.3005   9.473 0.00958 **
## Residuals        12 1.6475  0.1373                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
NetN.aov1 <- aov(NetN~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=dproject)
summary(NetN.aov1)
## 
## Error: Site
##           Df Sum Sq Mean Sq F value Pr(>F)
## Residuals  4 0.8832  0.2208               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)  
## Deer              1 0.2738 0.27378   5.505 0.0370 *
## Honeysuckle       1 0.1767 0.17672   3.553 0.0839 .
## Deer:Honeysuckle  1 0.0051 0.00512   0.103 0.7538  
## Residuals        12 0.5968 0.04973                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
t2.aov1 <- aov(t2~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=dproject)
summary(t2.aov1)
## 
## Error: Site
##           Df Sum Sq Mean Sq F value Pr(>F)
## Residuals  4  2.379  0.5947               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)
## Deer              1 0.0328 0.03281   0.353  0.563
## Honeysuckle       1 0.1566 0.15664   1.685  0.219
## Deer:Honeysuckle  1 0.0162 0.01625   0.175  0.683
## Residuals        12 1.1153 0.09294
t3.aov1 <- aov(t3~ Deer + Honeysuckle + Deer*Honeysuckle + Error(Site),data=dproject)
summary(t3.aov1)
## 
## Error: Site
##                  Df Sum Sq Mean Sq F value Pr(>F)
## Deer              1 0.0267 0.02667   0.159  0.729
## Deer:Honeysuckle  1 0.0002 0.00023   0.001  0.974
## Residuals         2 0.3354 0.16770               
## 
## Error: Within
##                  Df Sum Sq Mean Sq F value Pr(>F)  
## Deer              1 0.2784 0.27839   7.014 0.0244 *
## Honeysuckle       1 0.0000 0.00000   0.000 0.9949  
## Deer:Honeysuckle  1 0.1459 0.14585   3.675 0.0842 .
## Residuals        10 0.3969 0.03969                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1