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 cross 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, ...)
An anova
objects, such as those created by stats::anova()
or
car::Anova()
.
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.
A tibble::tibble with columns
Term within the model, or "Residuals"
Degrees of freedom used by this term in the model
Sum of squares explained by this term
Mean of sum of squares among degrees of freedom
F statistic
P-value from F test
The term
column of an ANOVA table can come with leading or
trailing whitespace, which this tidying method trims.
tidy()
, stats::anova()
, car::Anova()
Other anova tidiers:
tidy.TukeyHSD()
,
tidy.aovlist()
,
tidy.aov()
,
tidy.manova()
# NOT RUN {
a <- a <- aov(mpg ~ wt + qsec + disp, mtcars)
tidy(a)
# }
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