broom (version 0.8.0)

durbinWatsonTest_tidiers: Tidy/glance a(n) durbinWatsonTest object

Description

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 durbinWatsonTest
tidy(x, ...)
# S3 method for durbinWatsonTest
glance(x, ...)

Arguments

x

An object of class durbinWatsonTest created by a call to car::durbinWatsonTest().

...

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.

Value

A tibble::tibble() with columns:

alternative

Alternative hypothesis (character).

autocorrelation

Autocorrelation.

p.value

The two-sided p-value associated with the observed statistic.

statistic

Test statistic for Durbin-Watson test.

method

Always `Durbin-Watson Test`.

See Also

tidy(), glance(), car::durbinWatsonTest()

Other car tidiers: leveneTest_tidiers

Examples

# NOT RUN {
if (requireNamespace("car", quietly = TRUE)) {

# load modeling library
library(car)

# fit model
dw <- durbinWatsonTest(lm(mpg ~ wt, data = mtcars))

# summarize model fit with tidiers
tidy(dw)

# same output for all durbinWatsonTests
glance(dw) 

}

# }