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, ...)

Arguments

x

An ftable object returned from stats::ftable().

...

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.

Value

An ftable contains a "flat" contingency table. This melts it into a tibble::tibble with one column for each variable, then a Freq column.

See also

Examples

tidy(ftable(Titanic, row.vars = 1:3))
#> # 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