Apply tab_grid_t() to multiple grid questions — tab_grid_t

This function maps tab_grid_t() across all grid 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_grid_t().

Grid questions are detected automatically by prefixes before the first underscore (_).
Multiple response (pick-any) sets are skipped, since those should be handled with tab_mr().

Usage

tab_grid_t_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 grid 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_grid_t().

Value

A named list of tables or crosstabs, one per grid question prefix.

Details

This function assumes that the specified data frame only contains grid questions. Any non-grid question should be excluded using the exclude argument.

Examples

# Unweighted proportions tables of all grid questions
tab_grid_t_all(data = survey_data)
#> Error: These packages are required but not installed: dplyr

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