cat_data: Summarize categorical data

In metrumresearchgroup/pmtables: Tables for Pharmacometrics

Summarize categorical data

Description

Summarize categorical data

Usage

cat_data(
  data,
  cols,
  by = ".total",
  panel = by,
  summarize_all = TRUE,
  all_name = "All",
  wide = FALSE,
  nby = NULL,
  complete = FALSE,
  denom = c("group", "total")
)

Arguments

data	the data frame to summarize; the user should filter or subset so that data contains exactly the records to be summarized; pmtables will not add or remove rows prior to summarizing data
cols	the columns to summarize; may be character vector or quosure
by	a grouping variable; may be character vector or quosure
panel	data set column name to stratify the summary
summarize_all	logical indicating whether or not to include a summary of the full data in the output.
all_name	label for full data summary.
wide	logical; if TRUE, data frame will be returned in wide format; if FALSE, it will be returned in long format.
nby	number of unique levels for the by variable.
complete	logical; if TRUE, then data the summary will be completed for missing levels of byand panel.
denom	the denominator to use when calculating percent for each level; group uses the total number in the chunk being summarized; total uses the total number in the data set; historically, group has been used as the default.

Examples

cat_data(pmt_first, cols = c(SEX = "SEXf", RF = "RFf"), by = "STUDYf")

metrumresearchgroup/pmtables documentation built on Oct. 27, 2024, 5:16 p.m.