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 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
objectAn object of class "manova" or an aov
object with multiple responses.
interceptlogical. If TRUE, the intercept term is
included in the table.
toltolerance to be used in deciding if the residuals are
rank-deficient: see qr.
A tibble::tibble() with columns:
Degrees of freedom of the denominator.
Degrees of freedom.
The two-sided p-value associated with the observed statistic.
The value of a T-statistic to use in a hypothesis that the regression term is non-zero.
The name of the regression term.
Pillai's trace.
Wilk's lambda.
Hotelling-Lawley trace.
Roy's greatest root.
Depending on which test statistic is specified only one of pillai,
wilks, hl or roy is included.
tidy(), stats::summary.manova()
Other anova tidiers:
glance.aov(),
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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