Location helper for targeting the stub cells in a summary

Usage

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

rows

Rows to target

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

In conjunction with groups, we can specify which of their rows should form a constraint for targeting operations. The default everything() results in all rows in columns being formatted. Alternatively, we can supply a vector of row IDs within c(), a vector of row indices, or a select helper function (e.g. starts_with(), ends_with(), contains(), matches(), num_range(), and everything()). We can also use expressions to filter down to the rows we need (e.g., [colname_1] > 100 & [colname_2] < 50).

Value

A list object with the classes cells_stub_summary and location_cells.

Targeting summary stub cells with groups and rows

Targeting the stub cells of group summary rows is done through the groups and rows arguments. 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.

Once the groups are targeted, we may also target the rows of the summary. Summary cells in the stub will have ID values that can be used much like column names in the columns-targeting scenario. We can use simpler tidyselect-style expressions (the select helpers should work well here) and we can use quoted row identifiers in c(). It's also possible to use row indices (e.g., c(3, 5, 6)) that correspond to the row number of a summary row in a row group (numbering restarts with every row group).

Examples

Use a portion of the countrypops dataset to create a gt table. Add some styling to the summary data stub cells with tab_style() and cells_stub_summary() in the locations argument.

countrypops |>
  dplyr::filter(country_name == "Japan", year < 1970) |>
  dplyr::select(-contains("country")) |>
  dplyr::mutate(decade = paste0(substr(year, 1, 3), "0s")) |>
  gt(
    rowname_col = "year",
    groupname_col = "decade"
  ) |>
  fmt_integer(columns = population) |>
  summary_rows(
    groups = "1960s",
    columns = population,
    fns = list("min", "max"),
    fmt = ~ fmt_integer(.)
  ) |>
  tab_style(
    style = list(
      cell_text(
        weight = "bold",
        transform = "capitalize"
      ),
      cell_fill(
        color = "lightblue",
        alpha = 0.5
      )
    ),
    locations = cells_stub_summary(
      groups = "1960s"
    )
  )

Function ID

8-21

Function Introduced

v0.3.0 (May 12, 2021)

See also