cols_merge_range | R Documentation |
cols_merge_range()
is a specialized variant of cols_merge()
. It operates
by taking a two columns that constitute a range of values (col_begin
and
col_end
) and merges them into a single column. What results is a column
containing both values separated by an em dash. The column specified in
col_end
is dropped from the output table.
cols_merge_range(
data,
col_begin,
col_end,
rows = everything(),
autohide = TRUE,
sep = NULL,
locale = NULL
)
data |
The gt table data object
This is the gt table object that is commonly created through use of the
|
col_begin |
Column to target for beginning of range
The column that contains values for the start of the range. While select
helper functions such as |
col_end |
Column to target for end of range
The column that contains values for the end of the range. While select
helper functions such as |
rows |
Rows to target
In conjunction with |
autohide |
Automatic hiding of the
An option to automatically hide the column specified as
|
sep |
Separator text for ranges
The separator text that indicates the values are ranged. If a |
locale |
Locale identifier
An optional locale identifier that can be used for applying a |
An object of class gt_tbl
.
This function could be somewhat replicated using cols_merge()
, however,
cols_merge_range()
employs the following specialized operations for NA
handling:
NA
s in col_begin
(but not col_end
) result in a display of only
NA
s in col_end
(but not col_begin
) result in a display of only
the col_begin
values only for the merged column (this is the converse of
the previous)
NA
s both in col_begin
and col_end
result in missing values for
the merged column
Any resulting NA
values in the col_begin
column following the merge
operation can be easily formatted using sub_missing()
. Separate calls of
sub_missing()
can be used for the col_begin
and col_end
columns for
finer control of the replacement values.
This function is part of a set of four column-merging functions. The other
three are the general cols_merge()
function and the specialized
cols_merge_uncert()
and cols_merge_n_pct()
functions. These functions
operate similarly, where the non-target columns can be optionally hidden from
the output table through the hide_columns
or autohide
options.
Let's use a subset of the gtcars
dataset to create a gt table,
keeping only the model
, mpg_c
, and mpg_h
columns. Merge the "mpg*"
columns together as a single range column (which is labeled as MPG, in
italics) using the cols_merge_range()
function. After the merging process,
the column label for the mpg_c
column is updated with cols_label()
to
better describe the content.
gtcars |> dplyr::select(model, starts_with("mpg")) |> dplyr::slice(1:8) |> gt() |> cols_merge_range( col_begin = mpg_c, col_end = mpg_h ) |> cols_label(mpg_c = md("*MPG*"))
5-16
v0.2.0.5
(March 31, 2020)
Other column modification functions:
cols_add()
,
cols_align()
,
cols_align_decimal()
,
cols_hide()
,
cols_label()
,
cols_label_with()
,
cols_merge()
,
cols_merge_n_pct()
,
cols_merge_uncert()
,
cols_move()
,
cols_move_to_end()
,
cols_move_to_start()
,
cols_nanoplot()
,
cols_unhide()
,
cols_units()
,
cols_width()
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