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 'aovlist'
tidy(x, ...)An aovlist objects, such as those created by stats::aov().
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. Two exceptions here are:
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()
Other anova tidiers:
glance.anova(),
glance.aov(),
tidy.TukeyHSD(),
tidy.anova(),
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.
The error stratum.
Sum of squares explained by this term.
The name of the regression term.
a <- aov(mpg ~ wt + qsec + Error(disp / am), mtcars)
tidy(a)
#> # A tibble: 5 × 7
#> stratum term df sumsq meansq statistic p.value
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 disp wt 1 809. 809. NA NA
#> 2 disp:am wt 1 0.389 0.389 NA NA
#> 3 Within wt 1 87.2 87.2 12.0 0.00176
#> 4 Within qsec 1 34.2 34.2 4.72 0.0387
#> 5 Within Residuals 27 195. 7.24 NA NA