extract_p: Extracts p-values

In multcompView: Visualizations of Paired Comparisons

Extracts p-values

Description

For a given object it will look for the column named "p adj" or "difference" and extract its value mantaining its names

Usage

extract_p(x)

## Default S3 method:
extract_p(x)

## S3 method for class 'TukeyHSD'
extract_p(x)

## S3 method for class 'mc'
extract_p(x)

Arguments

x	A object that has p-values or logical values.

Value

A named vector with p-values or logical values.

Methods (by class)

• extract_p(default):

• extract_p(TukeyHSD): extract p values from a TukeyHSD object

• extract_p(mc):

Author(s)

Luciano Selzer

See Also

multcompLetters multcompTs

Examples

experiment <- data.frame(treatments = gl(11, 20, labels = c("dtl", "ctrl", "treat1", 
              "treat2", "treatA2", "treatB", "treatB2",
              "treatC", "treatD", "treatA1", "treatX")),
              y = c(rnorm(20, 10, 5), rnorm(20, 20, 5), rnorm(20, 22, 5), rnorm(20, 24, 5),
               rnorm(20, 35, 5), rnorm(20, 37, 5), rnorm(20, 40, 5), rnorm(20, 43, 5),
               rnorm(20, 45, 5), rnorm(20, 60, 5), rnorm(20, 60, 5)))
exp_tukey <- TukeyHSD(exp_aov <- aov(y  ~ treatments, data = experiment))

extract_p(exp_tukey)

if(require(pgirmess)){
extract_p(kruskalmc(y ~ treatments, data = experiment))
}

multcompView documentation built on April 9, 2023, 5:07 p.m.