Table of % categories for multiple variables

Table of % categories for multiple variables

Usage

summary_proportions_multiple(
  data,
  varslist,
  success = ~.x %in% c("More than once a week", "About every day"),
  genders = c("Boys", "Girls"),
  classes = "All",
  .gender_split = TRUE
)

Arguments

data

The dataframe of valid responses

varslist

(named) list of variables to use. Names to match vars

success

A purrr-like function denoting numerator categories

genders

List of genders to split by

classes

List of classes to split by

.gender_split

TRUE/FALSE - split by gender when sufficient numbers of responses

Value

A summary table of % of 'success' in each group