tidy.TukeyHSD: Tidy a(n) TukeyHSD object

Description

Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

Usage

# S3 method for TukeyHSD
tidy(x, ...)

Arguments

A TukeyHSD object return from stats::TukeyHSD().

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

Value

A tibble::tibble with one row per comparison and columns:

term

Term for which levels are being compared

comparison

Levels being compared, separated by -

estimate

Estimate of difference

conf.low

Low end of confidence interval of difference

conf.high

High end of confidence interval of difference

adj.p.value

P-value adjusted for multiple comparisons

Examples

Run this code

# NOT RUN {
fm1 <- aov(breaks ~ wool + tension, data = warpbreaks)
thsd <- TukeyHSD(fm1, "tension", ordered = TRUE)
tidy(thsd)

# may include comparisons on multiple terms
fm2 <- aov(mpg ~ as.factor(gear) * as.factor(cyl), data = mtcars)
tidy(TukeyHSD(fm2))

# }

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