Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
# S3 method for anova tidy(x, ...)
x | An |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
The term
column of an ANOVA table can come with leading or
trailing whitespace, which this tidying method trims.
For documentation on the tidier for car::leveneTest()
output, see
tidy.leveneTest()
tidy()
, stats::anova()
, car::Anova()
, car::leveneTest()
Other anova tidiers:
glance.aov()
,
tidy.TukeyHSD()
,
tidy.aovlist()
,
tidy.aov()
,
tidy.manova()
A tibble::tibble()
with columns:
Degrees of freedom used by this term in the model.
Mean sum of squares. Equal to total sum of squares divided by degrees of freedom.
The two-sided p-value associated with the observed statistic.
The value of a T-statistic to use in a hypothesis that the regression term is non-zero.
Sum of squares explained by this term.
The name of the regression term.
a <- lm(mpg ~ wt + qsec + disp, mtcars) b <- lm(mpg ~ wt + qsec, mtcars) tidy(anova(a, b)) #> # A tibble: 2 × 6 #> res.df rss df sumsq statistic p.value #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 28 195. NA NA NA NA #> 2 29 195. -1 -0.00102 0.000147 0.990