Tidy a(n) pairwise.htest object
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 across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'pairwise.htest' tidy(x, ...)
x |
A |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
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.
A tibble::tibble() with columns:
group1 |
First group being compared. |
group2 |
Second group being compared. |
p.value |
The two-sided p-value associated with the observed statistic. |
Other htest tidiers:
augment.htest(),
tidy.htest(),
tidy.power.htest()
attach(airquality) Month <- factor(Month, labels = month.abb[5:9]) ptt <- pairwise.t.test(Ozone, Month) tidy(ptt) library(modeldata) data(hpc_data) attach(hpc_data) ptt2 <- pairwise.t.test(compounds, class) tidy(ptt2) tidy(pairwise.t.test(compounds, class, alternative = "greater")) tidy(pairwise.t.test(compounds, class, alternative = "less")) tidy(pairwise.wilcox.test(compounds, class))
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