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 aovlist
tidy(x, ...)

## Arguments

x |
An `aovlist` 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

## Value

A `tibble::tibble()`

with columns:

dfDegrees of freedom used by this term in the model.

meansqMean sum of squares. Equal to total sum of squares divided by degrees of freedom.

p.valueThe two-sided p-value associated with the observed statistic.

statisticThe value of a T-statistic to use in a hypothesis that the regression term is non-zero.

stratumThe error stratum.

sumsqSum of squares explained by this term.

termThe name of the regression term.

## Examples

#> # 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