tab {sumvar} | R Documentation |
Create a cross-tabulation of two categorial variables
Description
Creates a "n x n" cross-tabulation of two categorical variables, with row percentages. Includes options for adding frequentist hypothesis testing.
The function accepts an input from a dplyr pipe "%>%" and outputs the results as a tibble.
eg. example_data %>% tab(variable1, variable2)
Usage
tab(data, variable1, variable2, test = "none")
Arguments
data |
The data frame or tibble |
variable1 |
The first categorical variable |
variable2 |
The second categorical variable |
test |
Optional frequentist hypothesis test, use test=exact for Fisher's exact or test=chi for Chi squared |
Value
A tibble with a cross-tabulation of frequencies and row percentages
Examples
example_data <- dplyr::tibble(id = 1:100, group1 = sample(c("a", "b", "c", "d"),
size = 100, replace = TRUE),
group2= sample(c("male", "female"),
size = 100, replace = TRUE))
example_data$group1[sample(1:100, size = 10)] <- NA # Replace 10 with missing
tab(example_data, group1, group2)
summary <- tab(example_data, group1, group2) # Save summary statistics as a tibble.
[Package sumvar version 0.1 Index]