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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 aov
tidy(x, intercept = FALSE, ...)



An aov object, such as those created by stats::aov().


A logical indicating whether information on the intercept ought to be included. Passed to stats::summary.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:

  • tidy() methods will warn when supplied an exponentiate argument if it will be ignored.

  • augment() methods will warn when supplied a newdata argument if it will be ignored.


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()


a <- aov(mpg ~ wt + qsec + disp, mtcars)
#> # A tibble: 4 × 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