For models that have only a single component, the tidy()
and
glance()
methods are identical. Please see the documentation for both
of those methods.
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.
tidy()
, glance()
, car::durbinWatsonTest()
Other car tidiers:
leveneTest_tidiers
A tibble::tibble()
with columns:
Alternative hypothesis (character).
Autocorrelation.
The two-sided p-value associated with the observed statistic.
Test statistic for Durbin-Watson test.
Always `Durbin-Watson Test`.
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)
}
#> # A tibble: 1 × 5
#> statistic p.value autocorrelation method alternative
#> <dbl> <dbl> <dbl> <chr> <chr>
#> 1 1.25 0.0200 0.363 Durbin-Watson Test two.sided