Tidy/glance a(n) leveneTest object

For models that have only a single component, the tidy() and glance() methods are identical. Please see the documentation for both of those methods.

Usage

# 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. Two exceptions here are:

• tidy() methods will warn when supplied an exponentiate argument if it will be ignored.

• augment() methods will warn when supplied a newdata argument if it will be ignored.

See also

tidy(), glance(), car::leveneTest()

Other car tidiers: durbinWatsonTest_tidiers

Value

A tibble::tibble() with columns:

df

Degrees of freedom used by this term in the model.

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.

df.residual

Residual degrees of freedom.

Examples

# load libraries for models and data
library(car)

data(Moore)

lt <- with(Moore, leveneTest(conformity, fcategory))

tidy(lt)
#> # A tibble: 1 × 4
#>   statistic p.value    df df.residual
#>       <dbl>   <dbl> <int>       <int>
#> 1    0.0460   0.955     2          42
glance(lt)
#> # A tibble: 0 × 0