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 anova
tidy(x, ...)
```

## Arguments

- x
An

`anova`

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

,`car::Anova()`

,`car::leveneTest()`

, or`car::linearHypothesis()`

.- ...
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

`tidy()`

, `stats::anova()`

, `car::Anova()`

, `car::leveneTest()`

Other anova tidiers:
`glance.anova()`

,
`glance.aov()`

,
`tidy.TukeyHSD()`

,
`tidy.aovlist()`

,
`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.

- sumsq
Sum of squares explained by this term.

- term
The name of the regression term.