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, ...)

Arguments

x

An aov 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. 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.

Details

The term column of an ANOVA table can come with leading or trailing whitespace, which this tidying method trims.

See also

Examples

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