describe_across: Apply multiple descriptive functions to multiple variables
In psyntur: Helper Tools for Teaching Statistical Data Analysis

Description Usage Arguments Value Examples

This function is a wrapper to dplyr's summarize used with the across function. For each variable in a set of variables, calculate each summary statistic from a list of summary statistic functions. Optionally, group the variables by a grouping variable, and then calculate the statistics. Optionally, the tibble that is returned by default, which is in a wide format, can be pivoted to a long format.

1	describe_across(data, variables, functions, by = NULL, pivot = FALSE)

`data`	A data frame
`variables`	A vector of variables in `data`
`functions`	A list of summary statistic function. If it is named list, which is recommended, the names of the functions will be used to make the names of the returned data frame.
`by`	A grouping variable. If included, the `data` will be grouped by the values of the `by` variable before the summary statistics are applied.
`pivot`	A logical variable indicating if the wide format da

A tibble data frame. If pivot = F, which is the default, the data frames contains one row per value of the by variable, or just one row overall if there is no by variable. If pivot = T, there will be k + 1 columns if there is no by variable, or k + 2 columns if there is a by variable, where k is the number of functions.

describe_across(faithfulfaces, 
                variables = c(trustworthy, faithful), 
                functions = list(avg = mean, stdev = sd),
                pivot = TRUE)
describe_across(faithfulfaces, 
                variables = c(trustworthy, faithful), 
                functions = list(avg = mean, stdev = sd), 
                by = face_sex)
describe_across(faithfulfaces, 
                variables = c(trustworthy, faithful), 
                functions = list(avg = mean, stdev = sd), 
                by = face_sex,
                pivot = TRUE)