cells_row_groups: Location helper for targeting row groups

Description

The cells_row_groups() function is used to target the table's row groups when applying a footnote with tab_footnote() or adding custom style with tab_style(). The function is expressly used in each of those functions' locations argument. The 'row_groups' location can be generated by the specifying a groupname_col in gt(), by introducing grouped data to gt() (by way of dplyr::group_by()), or, by specifying groups with the tab_row_group() function.

Usage

cells_row_groups(groups = everything())

Value

A list object with the classes cells_row_groups and location_cells.

Arguments

groups

Specification of row group IDs

<row-group-targeting expression> // default: everything()

The row groups to which targeting operations are constrained. Can either be a series of row group ID values provided in c() or a select helper function. Examples of select helper functions include starts_with(), ends_with(), contains(), matches(), one_of(), num_range(), and everything().

Targeting cells with <code>groups</code>

By default groups is set to everything(), which means that all available groups will be considered. Providing the ID values (in quotes) of row groups in c() will serve to constrain the targeting to that subset of groups.

Overview of location helper functions

Location helper functions can be used to target cells with virtually any function that has a locations argument. Here is a listing of all of the location helper functions, with locations corresponding roughly from top to bottom of a table:

cells_title(): targets the table title or the table subtitle depending on the value given to the groups argument ("title" or "subtitle").
cells_stubhead(): targets the stubhead location, a cell of which is only available when there is a stub; a label in that location can be created by using the tab_stubhead() function.
cells_column_spanners(): targets the spanner column labels with the spanners argument; spanner column labels appear above the column labels.
cells_column_labels(): targets the column labels with its columns argument.
cells_row_groups(): targets the row group labels in any available row groups using the groups argument.
cells_stub(): targets row labels in the table stub using the rows argument.
cells_body(): targets data cells in the table body using intersections of columns and rows.
cells_summary(): targets summary cells in the table body using the groups argument and intersections of columns and rows.
cells_grand_summary(): targets cells of the table's grand summary using intersections of columns and rows
cells_stub_summary(): targets summary row labels in the table stub using the groups and rows arguments.
cells_stub_grand_summary(): targets grand summary row labels in the table stub using the rows argument.
cells_footnotes(): targets all footnotes in the table footer (cannot be used with tab_footnote()).
cells_source_notes(): targets all source notes in the table footer (cannot be used with tab_footnote()).

When using any of the location helper functions with an appropriate function that has a locations argument (e.g., tab_style()), multiple locations can be targeted by enclosing several cells_*() helper functions in a list() (e.g., list(cells_body(), cells_grand_summary())).

Examples

Let's use a summarized version of the pizzaplace dataset to create a gt table with grouped data. Add a summary with the summary_rows() function and then add a footnote to the "peppr_salami" row group label with tab_footnote(); the targeting is done with cells_row_groups() in the locations argument.

pizzaplace |>
  dplyr::filter(name %in% c("soppressata", "peppr_salami")) |>
  dplyr::group_by(name, size) |>
  dplyr::summarize(`Pizzas Sold` = dplyr::n(), .groups = "drop") |>
  gt(rowname_col = "size", groupname_col = "name") |>
  summary_rows(
    columns = `Pizzas Sold`,
    fns = list(label = "TOTAL", fn = "sum"),
    fmt = ~ fmt_integer(.)
  ) |>
  tab_footnote(
    footnote = "The Pepper-Salami.",
    cells_row_groups(groups = "peppr_salami")
  )

This image of a table was generated from the first code example in the `cells_row_groups()` help file.

Function ID

8-15

Function Introduced

v0.2.0.5 (March 31, 2020)