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 ftable tidy(x, ...)
x | An |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
An ftable contains a "flat" contingency table. This melts it into a
tibble::tibble with one column for each variable, then a Freq
column.
Other stats tidiers: tidy.density
,
tidy.dist
#> # A tibble: 32 x 5 #> Class Sex Age Survived n #> <chr> <chr> <chr> <chr> <dbl> #> 1 1st Male Child No 0 #> 2 2nd Male Child No 0 #> 3 3rd Male Child No 35 #> 4 Crew Male Child No 0 #> 5 1st Female Child No 0 #> 6 2nd Female Child No 0 #> 7 3rd Female Child No 17 #> 8 Crew Female Child No 0 #> 9 1st Male Adult No 118 #> 10 2nd Male Adult No 154 #> # … with 22 more rows