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.

This function is deprecated. Please use tibble::as_tibble() instead.

# S3 method for ftable
tidy(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.


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

tidy(), stats::ftable()

Other stats tidiers: tidy.density(), tidy.dist()