tab: Frequency distribution for a categorical variable

In Rkabacoff/qacr: Functions to Facilitate Data Science Projects

Description

Function to calculate frequency distributions for categorical variables

Usage

tab(
  data,
  x,
  sort = FALSE,
  maxcat = NULL,
  minp = NULL,
  na.rm = FALSE,
  total = FALSE,
  digits = 2,
  cum = FALSE,
  plot = FALSE
)

Arguments

data	A dataframe
x	A factor variable in the data frame.
sort	logical. Sort levels from high to low.
maxcat	Maximum number of categories to be included. Smaller categories will be combined into an "Other" category.
minp	Minimum proportion for a category to be included. Categories representing smaller proportions willbe combined into an "Other" category. maxcat and minp cannot both be specified.
na.rm	logical. Removes missing values when TRUE.
total	logical. Include a total category when TRUE.
digits	Number of digits the percents should be rounded to.
cum	logical. If TRUE, include cumulative counts and percents. In this case total will be set to FALSE.
plot	logical. If TRUE, generate bar chart rather than a frequency table.

Details

The function tab will calculate the frequency distribution for a categorical variable and output a data frame with three columns: level, n, percent.

Value

If plot = TRUE return a ggplot2 bar chart. Otherwise return a data frame.

Examples

tab(venues, state, sort = TRUE, na.rm = TRUE,
    maxcat = 10, digits = 3)

tab(cars74, carb, cum=TRUE, plot=TRUE)

Rkabacoff/qacr documentation built on March 20, 2021, 3:03 p.m.