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)
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.

7-13
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(),
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 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)
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