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 anova
tidy(x, ...)

## Arguments

x |
An `anova` objects, such as those created by `stats::anova()` or
`car::Anova()` . |

... |
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

The `term`

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

## See also

## Value

A `tibble::tibble()`

with columns:

dfDegrees of freedom used by this term in the model.

meansqMean sum of squares. Equal to total sum of squares divided by degrees 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.

sumsqSum of squares explained by this term

termThe name of the regression term.

## Examples

#> # A tibble: 4 x 6
#> term df sumsq meansq statistic p.value
#> <chr> <int> <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