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, ...)
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
term column of an ANOVA table can come with leading or
trailing whitespace, which this tidying method trims.
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 tibble: 2 x 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