Apply tab_mr() to multiple multiple response sets

This function maps tab_mr() across all multiple response set question prefixes in a data frame. Optionally, you can specify a y variable for crosstabs and/or exclude prefixes from being tabulated. Additional arguments are passed to tab_mr().

Multiple response sets are detected automatically by prefixes before the first underscore (_).

Usage

tab_mr_all(data, y = NULL, weight = NULL, exclude = NULL, ...)

Arguments

data: A data frame containing the survey data.
y: (Optional) A variable to cross-tabulate against a multiple response set. Defaults to NULL.
weight: (Optional) A numeric weighting variable. If NULL (default), results are unweighted.
exclude: Variables to exclude from tabulation. Defaults to NULL. Always excludes y (if specified), weight (if specified), and variable literally named "weight".
...: Additional arguments passed to tab_mr().

Value

A named list of tables or crosstabs, one per multiple response set prefix.

Details

This function assumes that the specified data frame only contains multiple response sets Any non-multiple response set should be excluded using the exclude argument.

Examples

# Unweighted proportions tables of all multiple response sets
tab_mr_all(data = survey_data)
#> Error: These packages are required but not installed: dplyr

# Weighted proportions crosstabs of all multiple response sets by region, excluding Q99
tab_mr_all(data = survey_data, y = region, weight = weight_var, exclude = "Q99")
#> Error: These packages are required but not installed: dplyr