For models that have only a single component, the `tidy()`

and
`glance()`

methods are identical. Please see the documentation for both
of those methods.

# S3 method for leveneTest
tidy(x, ...)

## Arguments

x |
An object of class `anova` created by a call to
`car::leveneTest()` . |

... |
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. |

## See also

## Value

A `tibble::tibble()`

with columns:

dfDegrees of freedom used by this term in the model.

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.

df.residualResidual degrees of freedom.

## Examples

#> # A tibble: 1 x 4
#> statistic p.value df df.residual
#> <dbl> <dbl> <int> <int>
#> 1 0.0460 0.955 2 42

#> Warning: Data frame tidiers are deprecated and will be removed in an upcoming release of broom.

#> # A tibble: 1 x 4
#> nrow ncol complete.obs na.fraction
#> <int> <int> <int> <dbl>
#> 1 2 3 1 0.333