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 summary.manova
tidy(x, ...)

## Arguments

x |
A `summary.manova` object return from `stats::summary.manova()` . |

... |
Additional arguments. Not used. Needed to match generic
signature only. **Cautionary note:** Misspelled arguments will be
absorbed in `...` , where they will be ignored. If the misspelled
argument has a default value, the default value will be used.
For example, if you pass `conf.lvel = 0.9` , all computation will
proceed using `conf.level = 0.95` . Additionally, if you pass
`newdata = my_tibble` to an `augment()` method that does not
accept a `newdata` argument, it will use the default value for
the `data` argument. |

## Details

Depending on which test statistic was calculated when the object
was created, only one of `pillai`

, `wilks`

, `hl`

or `roy`

is included.

## See also

## Value

A `tibble::tibble()`

with columns:

den.dfDegrees of freedom of the denominator

num.dfDegrees of freedom

p.valueThe two-sided p-value associated with the observed statistic.

statisticThe value of a T-statistic to use in a hypothesis that the regression term is non-zero.

termThe name of the regression term.

pillaiPillai's trace.

wilksWilk's lambda.

hlHotelling-Lawley trace.

royRoy's greatest root.

## Examples

#> # A tibble: 8 x 7
#> term df wilks statistic num.df den.df p.value
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 block 5 0.147 3.54 10 22 0.00646
#> 2 N 1 0.491 5.70 2 11 0.0200
#> 3 P 1 0.956 0.254 2 11 0.780
#> 4 K 1 0.563 4.27 2 11 0.0424
#> 5 N:P 1 0.894 0.651 2 11 0.540
#> 6 N:K 1 0.311 12.2 2 11 0.00162
#> 7 P:K 1 0.808 1.31 2 11 0.309
#> 8 Residuals 12 NA NA NA NA NA