cat_vcount {tabbycat}

Count the frequency of discrete values in a categorical vector

Description

This function differs from cat_count in that it operates directly on vectors, rather than on columns in dataframes, which means it is less useful in pipelines but can handle a wider range of inputs. The results are sorted in descending order of frequency.

Usage

cat_vcount(
  cat,
  na.rm = FALSE,
  only = "",
  clean_names = getOption("tabbycat.clean_names")
)

Arguments

cat

A categorical vector for which frequencies will be calculated.

na.rm

A boolean indicating whether to exclude NAs from the results. The default is FALSE.

only

A string indicating that only one of the frequency columns should be returned in the results. If only is either "n" or "number", only the number column is returned. If only is either "p" or "percent", only the percent column is returned. If only is any other value, both columns are shown. The default value is an empty string, which means both columns are shown.

clean_names

A boolean indicating whether the column names of the results tibble should be cleaned, so that any column names produced from data are converted to snake_case. The default is TRUE, but this can be changed with options(tabbycat.clean_names = FALSE).

Value

A tibble showing the frequency of each value in cat.