View source: R/stats-anova-tidiers.R
tidy.TukeyHSD | R Documentation |
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 'TukeyHSD'
tidy(x, ...)
x |
A |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in
|
A tibble::tibble()
with columns:
adj.p.value |
P-value adjusted for multiple comparisons. |
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
contrast |
Levels being compared. |
estimate |
The estimated value of the regression term. |
null.value |
Value to which the estimate is compared. |
term |
The name of the regression term. |
tidy()
, stats::TukeyHSD()
Other anova tidiers:
glance.anova()
,
glance.aov()
,
tidy.anova()
,
tidy.aov()
,
tidy.aovlist()
,
tidy.manova()
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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