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:

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

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) # same output for all leveneTest
#> Warning: Data frame tidiers are deprecated and will be removed in an upcoming release of broom.
#> # A tibble: 1 × 4 #> nrow ncol complete.obs na.fraction #> <int> <int> <int> <dbl> #> 1 2 3 1 0.333