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 aovlist
tidy(x, ...)
```

## Arguments

- x
An

`aovlist`

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

,
`tidy.manova()`

## Value

A `tibble::tibble()`

with columns:

- df
Degrees of freedom used by this term in the model.

- meansq
Mean sum of squares. Equal to total sum of squares divided by degrees of freedom.

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

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

- stratum
The error stratum.

- sumsq
Sum of squares explained by this term.

- term
The name of the regression term.

## Examples

```
a <- aov(mpg ~ wt + qsec + Error(disp / am), mtcars)
tidy(a)
#> # A tibble: 5 × 7
#> stratum term df sumsq meansq statistic p.value
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 disp wt 1 809. 809. NA NA
#> 2 disp:am wt 1 0.389 0.389 NA NA
#> 3 Within wt 1 87.2 87.2 12.0 0.00176
#> 4 Within qsec 1 34.2 34.2 4.72 0.0387
#> 5 Within Residuals 27 195. 7.24 NA NA
```