Widen a frequencies table — pivot_freqs • y2clerk

Given a grouped frequencies table, pivot_freqs will create new columns for each label level in the frequencies

Usage

pivot_freqs(dataset, columns_var = label)

Arguments

dataset: A grouped frequencies table as produced by y2clerk::freqs()
columns_var: DEFAULT = label; If label, the frequencies will be pivoted so a new column will be created for each unique level of label. Can also be set to group_var to pivot the other way and create new columns for each unique level of group_var

Value

A wide tibble of frequencies with one row for each group (by default)

Examples

  frequencies <- forcats::gss_cat |>
    dplyr::group_by(year) |>
      y2clerk::freqs(marital) |>
      pivot_freqs()
#> Adding missing grouping variables: `year`