| tidy.manova | 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 'manova'
tidy(x, test = "Pillai", ...)
x |
A |
test |
One of "Pillai" (Pillai's trace), "Wilks" (Wilk's lambda), "Hotelling-Lawley" (Hotelling-Lawley trace) or "Roy" (Roy's greatest root) indicating which test statistic should be used. Defaults to "Pillai". |
... |
Arguments passed on to
|
Depending on which test statistic is specified only one of pillai,
wilks, hl or roy is included.
A tibble::tibble() with columns:
den.df |
Degrees of freedom of the denominator. |
num.df |
Degrees of freedom. |
p.value |
The two-sided p-value associated with the observed statistic. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
term |
The name of the regression term. |
pillai |
Pillai's trace. |
wilks |
Wilk's lambda. |
hl |
Hotelling-Lawley trace. |
roy |
Roy's greatest root. |
tidy(), stats::summary.manova()
Other anova tidiers:
glance.anova(),
glance.aov(),
tidy.TukeyHSD(),
tidy.anova(),
tidy.aov(),
tidy.aovlist()
npk2 <- within(npk, foo <- rnorm(24))
m <- manova(cbind(yield, foo) ~ block + N * P * K, npk2)
tidy(m)
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