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, ...)
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.
Other stats tidiers: tidy.density
,
tidy.dist
# NOT RUN {
tidy(ftable(Titanic, row.vars = 1:3))
# }
Run the code above in your browser using DataLab