broom (version 0.4.1)

tidy.pairwise.htest: tidy a pairwise hypothesis test

Description

Tidy a pairwise.htest object, containing (adjusted) p-values for multiple pairwise hypothesis tests.

Usage

"tidy"(x, ...)

Arguments

x
a "pairwise.htest" object
...
extra arguments (not used)

Value

A data frame with one row per group/group comparison, with columns
group1
First group being compared
group2
Second group being compared
p.value
(Adjusted) p-value of comparison

Details

Note that in one-sided tests, the alternative hypothesis of each test can be stated as "group1 is greater/less than group2".

Note also that the columns of group1 and group2 will always be a factor, even if the original input is (e.g.) numeric.

See Also

pairwise.t.test, pairwise.wilcox.test

Examples

Run this code

attach(airquality)
Month <- factor(Month, labels = month.abb[5:9])
ptt <- pairwise.t.test(Ozone, Month)
tidy(ptt)

attach(iris)
ptt2 <- pairwise.t.test(Petal.Length, Species)
tidy(ptt2)

tidy(pairwise.t.test(Petal.Length, Species, alternative = "greater"))
tidy(pairwise.t.test(Petal.Length, Species, alternative = "less"))

tidy(pairwise.wilcox.test(Petal.Length, Species))

Run the code above in your browser using DataCamp Workspace