View source: R/stats-htest-tidiers.R
tidy.htest | R Documentation |
For models that have only a single component, the tidy()
and
glance()
methods are identical. Please see the documentation for both
of those methods.
## S3 method for class 'htest'
tidy(x, ...)
## S3 method for class 'htest'
glance(x, ...)
x |
An |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in
|
A tibble::tibble()
with columns:
alternative |
Alternative hypothesis (character). |
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
estimate |
The estimated value of the regression term. |
estimate1 |
Sometimes two estimates are computed, such as in a two-sample t-test. |
estimate2 |
Sometimes two estimates are computed, such as in a two-sample t-test. |
method |
Method used. |
p.value |
The two-sided p-value associated with the observed statistic. |
parameter |
The parameter being modeled. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
tidy()
, stats::cor.test()
, stats::t.test()
,
stats::wilcox.test()
, stats::chisq.test()
Other htest tidiers:
augment.htest()
,
tidy.pairwise.htest()
,
tidy.power.htest()
tt <- t.test(rnorm(10))
tidy(tt)
# the glance output will be the same for each of the below tests
glance(tt)
tt <- t.test(mpg ~ am, data = mtcars)
tidy(tt)
wt <- wilcox.test(mpg ~ am, data = mtcars, conf.int = TRUE, exact = FALSE)
tidy(wt)
ct <- cor.test(mtcars$wt, mtcars$mpg)
tidy(ct)
chit <- chisq.test(xtabs(Freq ~ Sex + Class, data = as.data.frame(Titanic)))
tidy(chit)
augment(chit)
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