Count Top Categories in a Factor

This function transforms the specified factor variable within a dataframe to lump all but the top n most frequent levels into an 'Other' category and then computes the count of each level.

Usage

tar_count_top(df, var, n = 5)

Arguments

df

A data frame containing the variable to be manipulated.

var

The variable (unquoted) within the data frame.

n

The number of top levels to keep before lumping others into 'Other'; default is 5.

Value

A dataframe showing the count of each level including 'Other' for all lumped lesser categories.

Details

This function leverages `dplyr` for data manipulation and `forcats` for managing factor levels. It is particularly useful in data summarization where the focus is on the most frequent categories.

Examples

# \donttest{
if(interactive()){
  data <- data.frame(color = c("red", "blue", "green", "blue", "blue", "red", "yellow", "red"))
  print(tar_count_top(data, color, n = 2))
 }
# }