fmt_index | R Documentation |
With numeric values in a gt table we can transform those to index values, usually based on letters. These characters can be derived from a specified locale and they are intended for ordering (often leaving out characters with diacritical marks).
fmt_index(
data,
columns = everything(),
rows = everything(),
case = c("upper", "lower"),
index_algo = c("repeat", "excel"),
pattern = "{x}",
locale = NULL
)
data |
The gt table data object
This is the gt table object that is commonly created through use of the
|
columns |
Columns to target
Can either be a series of column names provided in |
rows |
Rows to target
In conjunction with |
case |
Use uppercase or lowercase letters
Should the resulting index characters be rendered as uppercase ( |
index_algo |
Indexing algorithm
The indexing algorithm handles the recycling of the index character set. By
default, the |
pattern |
Specification of the formatting pattern
A formatting pattern that allows for decoration of the formatted value. The
formatted value is represented by the |
locale |
Locale identifier
An optional locale identifier that can be used for formatting values
according to the locale's rules. Examples include |
An object of class gt_tbl
.
fmt_index()
is compatible with body cells that are of the "numeric"
or
"integer"
types. Any other types of body cells are ignored during
formatting. This is to say that cells of incompatible data types may be
targeted, but there will be no attempt to format them.
from_column()
helper functionfrom_column()
can be used with certain arguments of fmt_index()
to obtain
varying parameter values from a specified column within the table. This means
that each row could be formatted a little bit differently. These arguments
provide support for from_column()
:
case
index_algo
pattern
locale
Please note that for all of the aforementioned arguments, a from_column()
call needs to reference a column that has data of the correct type (this is
different for each argument). Additional columns for parameter values can be
generated with cols_add()
(if not already present). Columns that contain
parameter data can also be hidden from final display with cols_hide()
.
Finally, there is no limitation to how many arguments the from_column()
helper is applied so long as the arguments belong to this closed set.
Using a summarized version of the towny
dataset, let's create a gt
table. Here, fmt_index()
is used to transform incremental
integer values into capitalized letters (in the ranking
column). With
cols_merge()
that formatted column of "A"
to "E"
values is merged with
the census_div
column to create an indexed listing of census subdivisions,
here ordered by increasing total municipal population.
towny |> dplyr::select(name, csd_type, census_div, population_2021) |> dplyr::group_by(census_div) |> dplyr::summarize( population = sum(population_2021), .groups = "drop_last" ) |> dplyr::slice_min(population, n = 5) |> dplyr::mutate(ranking = dplyr::row_number(), .before = 0) |> gt() |> fmt_integer() |> fmt_index(columns = ranking, pattern = "{x}.") |> cols_merge(columns = c(ranking, census_div)) |> cols_align(align = "left", columns = ranking) |> cols_label( ranking = md("Census \nSubdivision"), population = md("Population \nin 2021") ) |> tab_header(title = md("The smallest \ncensus subdivisions")) |> tab_options(table.width = px(325))
3-10
v0.9.0
(Mar 31, 2023)
The vector-formatting version of this function: vec_fmt_index()
.
Other data formatting functions:
data_color()
,
fmt()
,
fmt_auto()
,
fmt_bins()
,
fmt_bytes()
,
fmt_chem()
,
fmt_country()
,
fmt_currency()
,
fmt_date()
,
fmt_datetime()
,
fmt_duration()
,
fmt_email()
,
fmt_engineering()
,
fmt_flag()
,
fmt_fraction()
,
fmt_icon()
,
fmt_image()
,
fmt_integer()
,
fmt_markdown()
,
fmt_number()
,
fmt_partsper()
,
fmt_passthrough()
,
fmt_percent()
,
fmt_roman()
,
fmt_scientific()
,
fmt_spelled_num()
,
fmt_tf()
,
fmt_time()
,
fmt_units()
,
fmt_url()
,
sub_large_vals()
,
sub_missing()
,
sub_small_vals()
,
sub_values()
,
sub_zero()
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