Tidy a(n) manova object

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", ...)

Arguments

x	A manova object return from stats::manova().
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 stats::summary.manova object An object of class "manova" or an aov object with multiple responses. test The name of the test statistic to be used. Partial matching is used so the name can be abbreviated. 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.

Value

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}

See also

tidy(), stats::summary.manova()

Other anova tidiers: tidy.TukeyHSD, tidy.anova, tidy.aovlist, tidy.aov

Examples

npk2 <- within(npk, foo <- rnorm(24))
m <- manova(cbind(yield, foo) ~ block + N * P * K, npk2)
tidy(m)
#> # A tibble: 8 x 7
#>   term         df   pillai statistic num.df den.df p.value
#>   <chr>     <dbl>    <dbl>     <dbl>  <dbl>  <dbl>   <dbl>
#> 1 block         5  0.834      1.72       10     24  0.135 
#> 2 N             1  0.521      5.98        2     11  0.0175
#> 3 P             1  0.128      0.806       2     11  0.471 
#> 4 K             1  0.362      3.13        2     11  0.0842
#> 5 N:P           1  0.193      1.31        2     11  0.308 
#> 6 N:K           1  0.208      1.44        2     11  0.278 
#> 7 P:K           1  0.00334    0.0184      2     11  0.982 
#> 8 Residuals    12 NA         NA          NA     NA NA