fmt_percent | R Documentation |
With numeric values in a gt table, we can perform percentage-based
formatting. It is assumed the input numeric values are proportional values
and, in this case, the values will be automatically multiplied by 100
before decorating with a percent sign (the other case is accommodated through
setting scale_values = FALSE
). For more control over percentage
formatting, we can use the following options:
percent sign placement: the percent sign can be placed after or before the values and a space can be inserted between the symbol and the value.
decimals: choice of the number of decimal places, option to drop trailing zeros, and a choice of the decimal symbol
digit grouping separators: options to enable/disable digit separators and provide a choice of separator symbol
value scaling toggle: choose to disable automatic value scaling in the situation that values are already scaled coming in (and just require the percent symbol)
pattern: option to use a text pattern for decoration of the formatted values
locale-based formatting: providing a locale ID will result in number formatting specific to the chosen locale
fmt_percent(
data,
columns = everything(),
rows = everything(),
decimals = 2,
drop_trailing_zeros = FALSE,
drop_trailing_dec_mark = TRUE,
scale_values = TRUE,
use_seps = TRUE,
accounting = FALSE,
pattern = "{x}",
sep_mark = ",",
dec_mark = ".",
force_sign = FALSE,
placement = "right",
incl_space = FALSE,
system = c("intl", "ind"),
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 |
decimals |
Number of decimal places
This corresponds to the exact number of decimal places to use. A value
such as |
drop_trailing_zeros |
Drop any trailing zeros
A logical value that allows for removal of trailing zeros (those redundant zeros after the decimal mark). |
drop_trailing_dec_mark |
Drop the trailing decimal mark
A logical value that determines whether decimal marks should always appear
even if there are no decimal digits to display after formatting (e.g., |
scale_values |
Multiply input values by 100
Should the values be scaled through multiplication by 100? By default this
scaling is performed since the expectation is that incoming values are
usually proportional. Setting to |
use_seps |
Use digit group separators
An option to use digit group separators. The type of digit group separator
is set by |
accounting |
Use accounting style
An option to use accounting style for values. Normally, negative values will be shown with a minus sign but using accounting style will instead put any negative values in parentheses. |
pattern |
Specification of the formatting pattern
A formatting pattern that allows for decoration of the formatted value. The
formatted value is represented by the |
sep_mark |
Separator mark for digit grouping
The string to use as a separator between groups of digits. For example,
using |
dec_mark |
Decimal mark
The string to be used as the decimal mark. For example, using
|
force_sign |
Forcing the display of a positive sign
Should the positive sign be shown for positive values (effectively showing
a sign for all values except zero)? If so, use |
placement |
Percent sign placement
This option governs the placement of the percent sign. This can be either
be |
incl_space |
Include a space between the value and the % sign
An option for whether to include a space between the value and the percent sign. The default is to not introduce a space character. |
system |
Numbering system for grouping separators
The international numbering system (keyword: |
locale |
Locale identifier
An optional locale identifier that can be used for formatting values
according the locale's rules. Examples include |
An object of class gt_tbl
.
fmt_percent()
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.
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).
By default all columns and rows are selected (with the everything()
defaults). Cell values that are incompatible with a given formatting function
will be skipped over, like character
values and numeric fmt_*()
functions. So it's safe to select all columns with a particular formatting
function (only those values that can be formatted will be formatted), but,
you may not want that. One strategy is to format the bulk of cell values with
one formatting function and then constrain the columns for later passes with
other types of formatting (the last formatting done to a cell is what you get
in the final output).
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. This is nice if you want to base
formatting on values in the column or another column, or, you'd like to use a
more complex predicate expression.
from_column()
helper functionfrom_column()
can be used with certain arguments of fmt_percent()
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()
:
decimals
drop_trailing_zeros
drop_trailing_dec_mark
scale_values
use_seps
accounting
pattern
sep_mark
dec_mark
force_sign
incl_space
placement
system
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.
locale
This formatting function can adapt outputs according to a provided locale
value. Examples include "en"
for English (United States) and "fr"
for
French (France). The use of a valid locale ID here means separator and
decimal marks will be correct for the given locale. Should any values be
provided in sep_mark
or dec_mark
, they will be overridden by the locale's
preferred values.
Note that a locale
value provided here will override any global locale
setting performed in gt()
's own locale
argument (it is settable there as
a value received by all other functions that have a locale
argument). As a
useful reference on which locales are supported, we can callinfo_locales()
to view an info table.
Use a summarized version of the pizzaplace
dataset to create a gt
table. With fmt_percent()
, we can format the frac_of_quota
column to
display values as percentages (to one decimal place).
pizzaplace |> dplyr::mutate(month = as.numeric(substr(date, 6, 7))) |> dplyr::group_by(month) |> dplyr::summarize(pizzas_sold = dplyr::n()) |> dplyr::ungroup() |> dplyr::mutate(frac_of_quota = pizzas_sold / 4000) |> gt(rowname_col = "month") |> fmt_percent( columns = frac_of_quota, decimals = 1 )
3-5
v0.2.0.5
(March 31, 2020)
The vector-formatting version of this function: vec_fmt_percent()
.
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_index()
,
fmt_integer()
,
fmt_markdown()
,
fmt_number()
,
fmt_partsper()
,
fmt_passthrough()
,
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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