tidy.manova {broom} | 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 cross 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
|
A tibble::tibble with columns:
\item{term}{Term in design} \item{statistic}{Approximate F statistic} \item{num.df}{Degrees of freedom} \item{p.value}{P-value}
Depending on which test statistic is specified, one of the following columns is also included:
\item{pillai}{Pillai's trace} \item{wilks}{Wilk's lambda} \item{hl}{Hotelling-Lawley trace} \item{roy}{Roy's greatest root}
tidy()
, stats::summary.manova()
Other anova tidiers: tidy.TukeyHSD
,
tidy.anova
, tidy.aovlist
,
tidy.aov
npk2 <- within(npk, foo <- rnorm(24)) m <- manova(cbind(yield, foo) ~ block + N * P * K, npk2) tidy(m)