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# multiple comparison with aov s <- read.table("dogFoodSales.txt",header=T) # fit the ANOVA model and perform post hoc test (Tukey's HSD) print( summary( smodel <- aov(sales ~ location, data=s) ) ) print( TukeyHSD(smodel,"location", ordered=TRUE) ) # check residuals for normality qqnorm(smodel$residuals) qqline(smodel$residuals) print(shapiro.test(smodel$residuals)) # check for homogeneity of variance attach(s) print(bartlett.test(sales ~ location)) # just in case, verify with nonparametric test print(kruskal.test(sales ~ location)) detach(s)
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