GimmeMyStats (version 1.0.0)

count_category: Frequency of categorical variables

Description

Formats a data frame or vector containing categorical variables and calculates the frequency of each category.

Usage

count_category(x, width = 15, collapse = FALSE, sort = TRUE, format = TRUE)

Value

A tibble with one row per category and the following columns:

f

Factor specifying the category labels, possibly wrapped to the specified width. When collapse = TRUE, multiple categories with identical frequencies are merged into a single label separated by commas.

n

Integer specifying the frequency count for each category.

Arguments

x

Data frame or vector containing categorical variables.

width

Integer specifying the maximum width for wrapping text.

collapse

Logical specifying whether to merge categories with identical proportions.

sort

Logical or character vector. If TRUE, orders categories by frequency. If FALSE, orders by names. If a character vector, renames and orders categories accordingly.

format

Logical specifying whether to format category names if the input is a vector.

Examples

# Vector of categorical variable
k <- 5
n <- runif(k, 1, 10) %>% round()
x <- paste("Level", seq(k)) %>%
    mapply(function(x, y) rep(x, y), ., n) %>%
    unlist()
count_category(x)

# Data frame of categorical variable
df <- sapply(seq(k), function(x) runif(10) %>% round()) %>% as.data.frame()
colnames(df) <- paste("Level", seq(k))
count_category(df)
count_category(x, sort = FALSE, width = 5)
count_category(x, sort = seq(k), format = FALSE)
x2 <- c(x, rep("Level 6", n[1]))
count_category(x2, collapse = TRUE)