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 aovlist 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.
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 x 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