Location helper for targeting cells in a grand summary

The cells_grand_summary() function is used to target the cells in a grand summary and it is useful when applying a footnote with tab_footnote() or adding custom styles with tab_style(). The function is expressly used in each of those functions' locations argument.

cells_grand_summary(columns = TRUE, rows = TRUE)

Arguments

columns	The names of the columns that are to be targeted.
rows	The names of the rows that are to be targeted.

Value

A list object with the classes cells_summary and location_cells.

Details

When using any of the location helper functions with an appropriate function that has a locations argument, multiple locations can be targeted by enclosing several cells_*() helper functions in a list(). The following helper functions can be used to target cells (roughly in order from the top to the 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, which appear above the column labels.

• cells_column_labels(): targets the column labels.

• 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

Figures

Function ID

7-13

See also

Other Helper Functions: adjust_luminance(), cell_borders(), cell_fill(), cell_text(), cells_body(), cells_column_labels(), cells_column_spanners(), cells_row_groups(), cells_stubhead(), cells_stub(), cells_summary(), cells_title(), currency(), escape_latex(), gt_latex_dependencies(), html(), md(), pct(), px(), random_id()

Examples

# Use `countrypops` to create a gt table; add
# some styling to a grand summary cell with
# with `tab_style()` and `cells_grand_summary()`
tab_1 <-
  countrypops %>%
  dplyr::filter(
    country_name == "Spain",
    year < 1970
  ) %>%
  dplyr::select(-contains("country")) %>%
  gt(rowname_col = "year") %>%
  fmt_number(
    columns = vars(population),
    decimals = 0
  ) %>%
  grand_summary_rows(
    columns = vars(population),
    fns = list(
      change = ~max(.) - min(.)
    ),
    formatter = fmt_number,
    decimals = 0
  ) %>%
  tab_style(
    style = list(
      cell_text(style = "italic"),
      cell_fill(color = "lightblue")
    ),
    locations = cells_grand_summary(
      columns = vars(population),
      rows = 1)
  )