pairwise.means.test: Perform non-parametric (randomization) test of mean...

In mlcollyer/chatham.bio532: Statistical analyses especially designed for BIO532, Biostatistics, at Chatham University

Description

Function performs all possible pairwise tests of mean differences for a class ANOVA object, by calculating confidence intervals

Usage

pairwise.means.test(A, alpha = 0.05)

Arguments

A	A class ANOVA object from a previous analysis
alpha	The significance level for confidence intervals.

Value

The function returns a table of confidence intervals for all pairwise comparisons of means.

Author(s)

Michael Collyer

Examples

data(cad)
cad$center <- as.factor(cad$center) # change numeric variable to factor

ANOVA1 <- ANOVA(age ~ center, data = cad, iter = 999)
summary(ANOVA1)
plot(ANOVA1, method = "hist")
pw <- pairwise.means.test(ANOVA1)
summary(pw)
plot(pw)

mlcollyer/chatham.bio532 documentation built on May 23, 2019, 2:08 a.m.