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Newly hatched 71 chicks were randomly allocated into six groups, and each group was given a different feed supplement. Their weights in grams after six weeks are recorded along with feed types.
str(chickwts)
## 'data.frame': 71 obs. of 2 variables:
## $ weight: num 179 160 136 227 217 168 108 124 143 140 ...
## $ feed : Factor w/ 6 levels "casein","horsebean",..: 2 2 2 2 2 2 2 2 2 2 ...
aggregate(weight ~ feed, data = chickwts, mean)
## feed weight
## 1 casein 323.5833
## 2 horsebean 160.2000
## 3 linseed 218.7500
## 4 meatmeal 276.9091
## 5 soybean 246.4286
## 6 sunflower 328.9167
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We can compare the effects of diet supplements on chick weights.
anova(lm(weight ~ feed, data = chickwts))
## Analysis of Variance Table
##
## Response: weight
## Df Sum Sq Mean Sq F value Pr(>F)
## feed 5 231129 46226 15.365 5.936e-10 ***
## Residuals 65 195556 3009
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1