multipleComp: Multiple Comparisons

In s20x: Functions for University of Auckland Course STATS 201/208 Data Analysis

Multiple Comparisons

Description

Calculates and prints the estimate, multiple 95% confidence intervals, unadjusted, Tukey and Bonferroni p-values for all possible differences in means in a one-way ANOVA.

Usage

multipleComp(fit, conf.level = 0.95, FUN = identity)

Arguments

fit	Output from the command [lm()].
conf.level	Confidence level for the confidence interval, expressed as a percentage.
FUN	Optional function to be applied to estimates and confidence intervals. Typically used for back-transformation operations.

Value

Returns a list of estimates, confidence intervals and p-values.

Examples

## computer data
data(computer.df)
fit = lm(score ~ factor(selfassess), data = computer.df)
multipleComp(fit)

## butterfat data
data("butterfat.df")
fit = lm(log(Butterfat) ~ Breed, data = butterfat.df)
multipleComp(fit, FUN = exp)

s20x documentation built on July 1, 2026, 9:06 a.m.