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.
Usage
# S3 method for class 'anova'
tidy(x, ...)
Arguments
- x
An
anova
object, such as those created bystats::anova()
,car::Anova()
,car::leveneTest()
, orcar::linearHypothesis()
.- ...
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 passconf.lvel = 0.9
, all computation will proceed usingconf.level = 0.95
. Two exceptions here are:
Details
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()
See also
tidy()
, stats::anova()
, car::Anova()
, car::leveneTest()
Other anova tidiers:
glance.anova()
,
glance.aov()
,
tidy.TukeyHSD()
,
tidy.aov()
,
tidy.aovlist()
,
tidy.manova()
Value
A tibble::tibble()
with columns:
- df
Degrees of freedom used by this term in the model.
- meansq
Mean sum of squares. Equal to total sum of squares divided by degrees of freedom.
- 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.
- sumsq
Sum of squares explained by this term.
- term
The name of the regression term.