With numeric values in a vector, we can perform number-based formatting so that the input values are always rendered as integer values within a character vector. The following major options are available:
digit grouping separators: options to enable/disable digit separators and provide a choice of separator symbol
scaling: we can choose to scale targeted values by a multiplier value
large-number suffixing: larger figures (thousands, millions, etc.) can be autoscaled and decorated with the appropriate suffixes
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
Usage
vec_fmt_integer(
x,
use_seps = TRUE,
accounting = FALSE,
scale_by = 1,
suffixing = FALSE,
pattern = "{x}",
sep_mark = ",",
force_sign = FALSE,
min_sep_threshold = 1,
locale = NULL,
output = c("auto", "plain", "html", "latex", "rtf", "word")
)Arguments
- x
The input vector
vector(numeric|integer)// requiredThis is the input vector that will undergo transformation to a character vector of the same length. Values within the vector will be formatted.
- use_seps
Use digit group separators
scalar<logical>// default:TRUEAn option to use digit group separators. The type of digit group separator is set by
sep_markand overridden if a locale ID is provided tolocale. This setting isTRUEby default.- accounting
Use accounting style
scalar<logical>// default:FALSEAn 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.
- scale_by
Scale values by a fixed multiplier
scalar<numeric|integer>// default:1All numeric values will be multiplied by the
scale_byvalue before undergoing formatting. Since thedefaultvalue is1, no values will be changed unless a different multiplier value is supplied. This value will be ignored if using any of thesuffixingoptions (i.e., wheresuffixingis not set toFALSE).- suffixing
Specification for large-number suffixing
scalar<logical>|vector<character>// default:FALSEThe
suffixingoption allows us to scale and apply suffixes to larger numbers (e.g.,1924000can be transformed to2M). This option can accept a logical value, whereFALSE(the default) will not perform this transformation andTRUEwill apply thousands (K), millions (M), billions (B), and trillions (T) suffixes after automatic value scaling.We can alternatively provide a character vector that serves as a specification for which symbols are to be used for each of the value ranges. These preferred symbols will replace the defaults (e.g.,
c("k", "Ml", "Bn", "Tr")replaces"K","M","B", and"T").Including
NAvalues in the vector will ensure that the particular range will either not be included in the transformation (e.g.,c(NA, "M", "B", "T")won't modify numbers at all in the thousands range) or the range will inherit a previous suffix (e.g., withc("K", "M", NA, "T"), all numbers in the range of millions and billions will be in terms of millions).Any use of
suffixing(where it is not set expressly asFALSE) means that any value provided toscale_bywill be ignored.If using
system = "ind"then the default suffix set provided bysuffixing = TRUEwill be the equivalent ofc(NA, "L", "Cr"). This doesn't apply suffixes to the thousands range, but does express values in lakhs and crores.- pattern
Specification of the formatting pattern
scalar<character>// default:"{x}"A formatting pattern that allows for decoration of the formatted value. The formatted value is represented by the
{x}(which can be used multiple times, if needed) and all other characters will be interpreted as string literals.- sep_mark
Separator mark for digit grouping
scalar<character>// default:","The string to use as a separator between groups of digits. For example, using
sep_mark = ","with a value of1000would result in a formatted value of"1,000". This argument is ignored if alocaleis supplied (i.e., is notNULL).- force_sign
Forcing the display of a positive sign
scalar<logical>// default:FALSEShould the positive sign be shown for positive values (effectively showing a sign for all values except zero)? If so, use
TRUEfor this option. The default isFALSE, where only negative numbers will display a minus sign. This option is disregarded when using accounting notation withaccounting = TRUE.- min_sep_threshold
Minimum digit threshold for grouping separators
scalar<numeric|integer>(val>=1)// default:1The minimum number of digits required in the integer part of a number for grouping separators to be applied. This parameter determines when digit grouping begins based on the magnitude of values. The value
1(the default) applies separators starting at 4-digit numbers (e.g.,1,000and above). A value of2starts grouping at 5-digit numbers (10,000and above), while3begins at 6-digit numbers (100,000and above).- locale
Locale identifier
scalar<character>// default:NULL(optional)An optional locale identifier that can be used for formatting values according to the locale's rules. Examples include
"en"for English (United States) and"fr"for French (France). We can callinfo_locales()for a useful reference for all of the locales that are supported.- output
Output format
singl-kw:[auto|plain|html|latex|rtf|word]// default:"auto"The output style of the resulting character vector. This can either be
"auto"(the default),"plain","html","latex","rtf", or"word". In knitr rendering (i.e., Quarto or R Markdown), the"auto"option will choose the correctoutputvalue
Examples
Let's create a numeric vector for the next few examples:
num_vals <- c(5.2, 8.65, 13602, -5.3, NA)Using vec_fmt_integer() with the default options will create a character
vector where the input values undergo rounding to become integers and NA
values will render as "NA". Also, the rendering context will be
autodetected unless specified in the output argument (here, it is of the
"plain" output type).
vec_fmt_integer(num_vals)We can change the digit separator mark to a period with the sep_mark
option:
vec_fmt_integer(num_vals, sep_mark = ".")Many options abound for formatting values. If you have a need for positive
and negative signs in front of each and every value, use force_sign = TRUE:
vec_fmt_integer(num_vals, force_sign = TRUE)As a last example, one can wrap the values in a pattern with the pattern
argument. Note here that NA values won't have the pattern applied.
vec_fmt_integer(num_vals, pattern = "`{x}`")See also
The variant function intended for formatting gt table data:
fmt_integer().
Other vector formatting functions:
vec_fmt_bytes(),
vec_fmt_currency(),
vec_fmt_date(),
vec_fmt_datetime(),
vec_fmt_duration(),
vec_fmt_engineering(),
vec_fmt_fraction(),
vec_fmt_index(),
vec_fmt_markdown(),
vec_fmt_number(),
vec_fmt_number_si(),
vec_fmt_partsper(),
vec_fmt_percent(),
vec_fmt_roman(),
vec_fmt_scientific(),
vec_fmt_spelled_num(),
vec_fmt_time()