cells_summary: Location helper for targeting group summary cells
In gt: Easily Create Presentation-Ready Display Tables

Description Usage Arguments Details Value Figures Function ID See Also Examples

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

1	cells_summary(groups = TRUE, columns = TRUE, rows = TRUE)

`groups`	The names of the groups that the summary rows reside in.
`columns`	The names of the columns that are to be targeted.
`rows`	The names of the rows that are to be targeted.

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

A list object with the classes cells_summary and location_cells.

7-12

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

# Use `countrypops` to create a gt table; add
# some styling to the summary data cells with
# with `tab_style()`, using `cells_summary()`
# in `locations`
tab_1 <-
  countrypops %>%
  dplyr::filter(
    country_name == "Japan",
    year < 1970) %>%
  dplyr::select(-contains("country")) %>%
  dplyr::mutate(
    decade = paste0(substr(year, 1, 3), "0s")
  ) %>%
  dplyr::group_by(decade) %>%
  gt(
    rowname_col = "year",
    groupname_col = "decade"
  ) %>%
  fmt_number(
    columns = vars(population),
    decimals = 0
  ) %>%
  summary_rows(
    groups = "1960s",
    columns = vars(population),
    fns = list("min", "max"),
    formatter = fmt_number,
    decimals = 0
  ) %>%
  tab_style(
    style = list(
      cell_text(style = "italic"),
      cell_fill(color = "lightblue")
      ),
    locations = cells_summary(
      groups = "1960s",
      columns = vars(population),
      rows = 1)
  ) %>%
  tab_style(
    style = list(
      cell_text(style = "italic"),
      cell_fill(color = "lightgreen")
      ),
    locations = cells_summary(
      groups = "1960s",
      columns = vars(population),
      rows = 2)
  )