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.

## Usage

```
# S3 method for aov
tidy(x, intercept = FALSE, ...)
```

## Arguments

- x
An

`aov`

object, such as those created by`stats::aov()`

.- intercept
A logical indicating whether information on the intercept ought to be included. Passed to

`stats::summary.aov()`

.- ...
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`

. Two exceptions here are:

## Details

The `term`

column of an ANOVA table can come with leading or
trailing whitespace, which this tidying method trims.

For documentation on the tidier for `car::leveneTest()`

output, see
`tidy.leveneTest()`

## See also

Other anova tidiers:
`glance.anova()`

,
`glance.aov()`

,
`tidy.TukeyHSD()`

,
`tidy.anova()`

,
`tidy.aovlist()`

,
`tidy.manova()`

## Examples

```
a <- aov(mpg ~ wt + qsec + disp, mtcars)
tidy(a)
#> # A tibble: 4 × 6
#> term df sumsq meansq statistic p.value
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 wt 1 848. 848. 121. 1.08e-11
#> 2 qsec 1 82.9 82.9 11.9 1.82e- 3
#> 3 disp 1 0.00102 0.00102 0.000147 9.90e- 1
#> 4 Residuals 28 195. 6.98 NA NA
```