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cells_row_groups() 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() (via dplyr::group_by()), or, by specifying groups with tab_row_group().

Usage

cells_row_groups(groups = everything())

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 (e.g. starts_with(), ends_with(), contains(), matches(), num_range(), and everything()).

Value

A list object with the classes cells_row_groups and location_cells.

Targeting cells with groups

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.

Examples

Let's use a summarized version of the pizzaplace dataset to create a gt table with grouped data. Add a summary with summary_rows() 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

8-16

Function Introduced

v0.2.0.5 (March 31, 2020)