summaryTable: Create Stratified Summary Tables
In gevamaimon/CLSAR: Helper Functions for CLSA Data

Description Usage Arguments Value Author(s)

View source: R/summaryTable.R

Creates a summary table stratified by a categorical variable. If being used for the generation of a report, it is recommended to use the pander function to format the table. Supports the use of weighted data.

1 2	summaryTable(vect, categories = c(), catname = "", missingValues = c(), weights = c())

`vect`	The vector of data to be summarized. It should be a continuous variable.
`categories`	The vector of categories. If left undefined, a simple summary of the vect vector will be performed.
`catname`	The name of the categories. Defaults to the name of the category vector.
`missingValues`	An optional vector containing the codes of the missing values.
`weights`	An optional vector containing the weights of the data.