library(agridat)
dat = depalluel.sheep
#my version loaded in
dat = read.csv("~/Downloads/sheep.csv")
attach(dat)
print(dat)
## Food Breed Month Weight.difference
## 1 Potatoes Isle de France First 10.00
## 2 Potatoes Beauce Fourth 24.25
## 3 Potatoes Champagne Third 14.75
## 4 Potatoes Picardy Second 13.00
## 5 Turnips Isle de France Second 18.00
## 6 Turnips Beauce First 15.00
## 7 Turnips Champagne Fourth 16.00
## 8 Turnips Picardy Third 18.50
## 9 Beets Isle de France Third 22.00
## 10 Beets Beauce Second 15.25
## 11 Beets Champagne First 13.25
## 12 Beets Picardy Fourth 21.00
## 13 Corn Isle de France Fourth 32.00
## 14 Corn Beauce Third 22.50
## 15 Corn Champagne Second 22.00
## 16 Corn Picardy First 16.00
#latin square ANOVA
model = lm(Weight.difference ~ Food + Breed + Month)
#anova table
anova(model)
## Analysis of Variance Table
##
## Response: Weight.difference
## Df Sum Sq Mean Sq F value Pr(>F)
## Food 3 133.297 44.432 4.0955 0.06703 .
## Breed 3 41.422 13.807 1.2727 0.36538
## Month 3 201.547 67.182 6.1925 0.02875 *
## Residuals 6 65.094 10.849
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
At alpha = .05, there is no significant effect of grain diet on weight difference for sheep.