discrete_table: Produce a dataframe to summarise discrete variables

In EstherHerbert/Useful.functions: Some Useful Functions

Produce a dataframe to summarise discrete variables

Description

Takes a dataframe and produces the number and percentage for discrete variables.

Usage

discrete_table(
  df = .,
  ...,
  group = .,
  time = .,
  total = TRUE,
  n = FALSE,
  missing = "Missing",
  accuracy = 0.1,
  condense = FALSE
)

Arguments

df	Data Frame
...	Variables to be summarised
group	Optional variable that defines the grouping
time	Optional variable for repeated measures (currenlty must me used with group)
total	Logical indicating whether a total column should be created
n	Logical indicating whether percentages should be out of n (n = TRUE) or N (n = FALSE)
missing	String determining what missing data will be called (if n = TRUE). Default is "Missing".
accuracy	see details of scales::percent
condense	should the variable and scoring columns in the output be condensed to one column?

Value

A tibble data frame summarising the data

Examples

    library(ggplot2) # for the data
    discrete_table(df = mpg, drv, group = manufacturer)
    discrete_table(df = mpg, drv)

EstherHerbert/Useful.functions documentation built on Jan. 31, 2025, 10:41 a.m.