Tidy/glance a(n) durbinWatsonTest 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.

# 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 one-row tibble::tibble with columns:

statistic

Test statistic for Durbin-Watson test.

p.value

P-value of test statistic.

autocorrelation

Residual autocorrelations.

method

Always "Durbin-Watson Test".

alternative

Alternative hypothesis (character).

See also

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

Examples

dw <- car::durbinWatsonTest(lm(mpg ~ wt, data = mtcars))
#> Error in loadNamespace(name): there is no package called ‘car’
tidy(dw)
#> Error in tidy(dw): object 'dw' not found
glance(dw)  # same output for all durbinWatsonTests
#> Error in glance(dw): object 'dw' not found