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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 manova
tidy(x, test = "Pillai", ...)
A manova
object return from stats::manova()
.
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 stats::summary.manova
object
An object of class "manova"
or an aov
object with multiple responses.
intercept
logical. If TRUE
, the intercept term is
included in the table.
tol
tolerance to be used in deciding if the residuals are
rank-deficient: see qr
.
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()
# NOT RUN {
npk2 <- within(npk, foo <- rnorm(24))
m <- manova(cbind(yield, foo) ~ block + N * P * K, npk2)
tidy(m)
# }
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