gt (version 0.5.0)

cells_stub_summary: Location helper for targeting the stub cells in a summary

Description

The cells_stub_summary() function is used to target the stub cells of 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. The 'stub_summary' location is generated by the summary_rows() function.

Usage

cells_stub_summary(groups = everything(), rows = everything())

Arguments

groups

The names of the groups that are to be targeted.

rows

The names of the rows that are to be targeted.

Value

A list object with the classes cells_stub_summary and location_cells.

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())).

Figures

Function ID

7-14

See Also

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

Examples

# NOT RUN {
# Use `countrypops` to create a gt table; add
# some styling to the summary data stub cells
# with `tab_style()` and `cells_stub_summary()`
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 = population,
    decimals = 0
  ) %>%
  summary_rows(
    groups = "1960s",
    columns = population,
    fns = list("min", "max"),
    formatter = fmt_number,
    decimals = 0
  ) %>%
  tab_style(
    style = list(
      cell_text(
        weight = "bold",
        transform = "capitalize"
      ),
      cell_fill(
        color = "lightblue",
        alpha = 0.5
      )
    ),
    locations = cells_stub_summary(
      groups = "1960s"
    )
  )

# }