Tidy a(n) anova object
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 class '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()
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. |
Other anova tidiers:
glance.aov()
,
tidy.TukeyHSD()
,
tidy.aovlist()
,
tidy.aov()
,
tidy.manova()
a <- lm(mpg ~ wt + qsec + disp, mtcars) b <- lm(mpg ~ wt + qsec, mtcars) tidy(anova(a, b))
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