cells_body | R Documentation |
The cells_body()
function is used to target the data cells in the table
body. The function can be used to apply a footnote with tab_footnote()
, to
add custom styling with tab_style()
, or the transform the targeted cells
with text_transform()
. The function is expressly used in each of those
functions' locations
argument. The 'body' location is present by default in
every gt table.
cells_body(columns = everything(), rows = everything())
columns |
The names of the columns that are to be targeted. |
rows |
The names of the rows that are to be targeted. |
A list object with the classes cells_body
and location_cells
.
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())
).
columns
and rows
Targeting of values is done through columns
and additionally by rows
(if
nothing is provided for rows
then entire columns are selected). The
columns
argument allows us to target a subset of cells contained in the
resolved columns. We say resolved because aside from declaring column names
in c()
(with bare column names or names in quotes) we can use
tidyselect-style expressions. This can be as basic as supplying a select
helper like starts_with()
, or, providing a more complex incantation like
where(~ is.numeric(.x) && max(.x, na.rm = TRUE) > 1E6)
which targets numeric columns that have a maximum value greater than
1,000,000 (excluding any NA
s from consideration).
Once the columns are targeted, we may also target the rows
within those
columns. This can be done in a variety of ways. If a stub is present, then we
potentially have row identifiers. Those 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)
) though these index values must correspond to the row numbers of
the input data (the indices won't necessarily match those of rearranged rows
if row groups are present). One more type of expression is possible, an
expression that takes column values (can involve any of the available columns
in the table) and returns a logical vector.
Use gtcars
to create a gt table. Add a footnote that targets a single
data cell with tab_footnote()
, using cells_body()
in locations
(rows = hp == max(hp)
will target a single row in the hp
column).
gtcars |> dplyr::filter(ctry_origin == "United Kingdom") |> dplyr::select(mfr, model, year, hp) |> gt() |> tab_footnote( footnote = "Highest horsepower.", locations = cells_body( columns = hp, rows = hp == max(hp) ) ) |> opt_footnote_marks(marks = c("*", "+"))
8-12
v0.2.0.5
(March 31, 2020)
Other helper functions:
adjust_luminance()
,
cell_borders()
,
cell_fill()
,
cell_text()
,
cells_column_labels()
,
cells_column_spanners()
,
cells_footnotes()
,
cells_grand_summary()
,
cells_row_groups()
,
cells_source_notes()
,
cells_stub_grand_summary()
,
cells_stub_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()
,
stub()
,
system_fonts()
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