Created
February 25, 2011 01:11
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| # Example 1 | |
| data <- read.csv("chol_hair_music.csv") | |
| attach(data) | |
| head(data) | |
| # Box Plots | |
| boxplot(chol~hair) | |
| boxplot(chol~music) | |
| boxplot(chol~music:hair) | |
| # Balanced? | |
| table(music,hair) | |
| # Means | |
| tapply(chol,music,mean) | |
| tapply(chol,hair,mean) | |
| tapply(chol,hair:music,mean) | |
| # Treatment Mean Plots/Interaction Plots | |
| interaction.plot(hair,music,chol) | |
| interaction.plot(music,hair,chol) | |
| # Example 2 | |
| data <- read.csv("sulpher.csv") | |
| attach(data) | |
| head(data) | |
| nitf <- factor(nitrogen) | |
| sulf <- factor(sulpher) | |
| # Box Plots | |
| boxplot(yield~nitf) | |
| boxplot(yield~sulf) | |
| boxplot(yield~nitf:sulf) | |
| # Balanced? | |
| table(sulf,nitf) | |
| # Means | |
| tapply(yield,sulf,mean) | |
| tapply(yield,sulf:nitf,mean) | |
| # Treatment Mean Plots/Interaction Plots | |
| interaction.plot(nitf,sulf,yield) | |
| interaction.plot(sulf,nitf,yield) | |
| # | |
| # Two Factor ANOVA in R | |
| # | |
| res1 <- lm(chol~hair+music) | |
| anova(res1) | |
| res2 <- lm(chol~hair:music) | |
| anova(res2) | |
| res3 <- lm(chol~hair+music+hair:music) | |
| anova(res3) | |
| res3b <- lm(chol~hair*music) | |
| anova(res3b) | |
| model.tables(aov(res3),"means") | |
| model.tables(aov(res3),"effects") | |
| TukeyHSD(aov(res3),which="hair") | |
| TukeyHSD(aov(res3)) |
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