ezsummary_categorical: Easily summarize categorical data
In haozhu233/ezsummary: Generate Data Summary in a Tidy Format

Description Usage Arguments Examples

ezsummary_categorical() summarizes categorical data.

Shorthand for ezsummary_categorical

ezsummary_categorical(tbl, n = FALSE, count = TRUE, p = TRUE,
  p_type = c("decimal", "percent"), digits = 3, rounding_type = c("round",
  "signif", "ceiling", "floor"), P = FALSE, round.N = 3,
  flavor = c("long", "wide"), fill = 0, unit_markup = NULL)

ezsummary_c(tbl, n = FALSE, count = TRUE, p = TRUE,
  p_type = c("decimal", "percent"), digits = 3, rounding_type = c("round",
  "signif", "ceiling", "floor"), P = FALSE, round.N = 3,
  flavor = c("long", "wide"), fill = 0, unit_markup = NULL)

`tbl`	A vector, a data.frame or a `dplyr` `tbl`.
`n`	A T/F value; total counts of records. Default is `FALSE`.
`count`	A T/F value; count of records in each category. Default is `TRUE`.
`p`	A T/F value; proportion or percentage of records in each category. Default is `TRUE`.
`p_type`	A character string determining the output format of `p`; possible values are `decimal` and `percent`. Default value is `decimal`.
`digits`	A numeric value determining the rounding digits; Replacement for `round.N`. Default setting is to read from `getOption()`.
`rounding_type`	A character string determining the rounding method; possible values are `round`, `signif`, `ceiling` and `floor`. When `ceiling` or `floor` is selected, `digits` won't have any effect.
`P`	Deprecated; Will change the value of `p_type` if used in this version.
`round.N`	Deprecated; Will change the value of `rounding_type` if used in this version.
`flavor`	A character string with two possible inputs: "long" and "wide". "Long" is the default setting which will put grouping information on the left side of the table. It is more machine readable and is good to be passed into the next analytical stage if needed. "Wide" is more print ready (except for column names, which you can fix in the next step, or fix in LaTex or packages like `htmlTable`). In the "wide" mode, the analyzed variable will be the only "ID" variable and all the stats values will be presented ogranized by the grouping variables (if any). If there is no grouping, the outputs of "wide" and "long" will be the same.
`fill`	If set, missing values created by the "wide" flavor will be replaced with this value. Please check `spread` for details. Default value is `0`
`unit_markup`	When unit_markup is not NULL, it will call the ezmarkup function and perform column combination here. To make everyone's life easier, I'm using the term "unit" here. Each unit mean each group of statistical summary results. If you want to know mean and stand deviation, these two values are your units so you can put something like "[. (.)]" there #' @param P Deprecated; Will change the value of `p_type` if used in this version.

library(dplyr)
mtcars %>%
  group_by(am) %>%
  select(cyl, gear, carb) %>%
  ezsummary_categorical()

mtcars %>%
  select(cyl, gear, carb) %>%
  ezsummary_categorical(n=TRUE, round.N = 2)