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 aov 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.
a <- aov(mpg ~ wt + qsec + disp, mtcars) tidy(a)#> # A tibble: 4 x 6 #> term df sumsq meansq statistic p.value #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 wt 1 848. 848. 121. 1.08e-11 #> 2 qsec 1 82.9 82.9 11.9 1.82e- 3 #> 3 disp 1 0.00102 0.00102 0.000147 9.90e- 1 #> 4 Residuals 28 195. 6.98 NA NA