sub_large_vals: Substitute large values in the table body

In gt: Easily Create Presentation-Ready Display Tables

Substitute large values in the table body

Description

Wherever there are numerical data that are very large in value, replacement text may be better for explanatory purposes. sub_large_vals() allows for this replacement through specification of a threshold, a large_pattern, and the sign (positive or negative) of the values to be considered.

Usage

sub_large_vals(
  data,
  columns = everything(),
  rows = everything(),
  threshold = 1e+12,
  large_pattern = ">={x}",
  sign = "+"
)

Arguments

data	The gt table data object ⁠obj:<gt_tbl>⁠ // required This is the gt table object that is commonly created through use of the gt() function.
columns	Columns to target <column-targeting expression> // default: everything() The columns to which substitution operations are constrained. Can either be a series of column names provided in c(), a vector of column indices, or a select helper function (e.g. starts_with(), ends_with(), contains(), matches(), num_range(), and everything()).
rows	Rows to target <row-targeting expression> // default: everything() In conjunction with columns, we can specify which of their rows should form a constraint for targeting operations. The default everything() results in all rows in columns being formatted. Alternatively, we can supply a vector of row IDs within c(), a vector of row indices, or a select helper function (e.g. starts_with(), ends_with(), contains(), matches(), num_range(), and everything()). We can also use expressions to filter down to the rows we need (e.g., ⁠[colname_1] > 100 & [colname_2] < 50⁠).
threshold	Threshold value ⁠scalar<numeric|integer>⁠ // default: 1E12 The threshold value with which values should be considered large enough for replacement.
large_pattern	Pattern specification for large values ⁠scalar<character>⁠ // default: ">={x}" The pattern text to be used in place of the suitably large values in the rendered table.
sign	Consider positive or negative values? ⁠scalar<character>⁠ // default: "+" The sign of the numbers to be considered in the replacement. By default, we only consider positive values ("+"). The other option ("-") can be used to consider only negative values.

Value

An object of class gt_tbl.

Examples

Let's generate a simple, single-column tibble that contains an assortment of values that could potentially undergo some substitution.

tbl <- dplyr::tibble(num = c(0, NA, 10^(8:14)))

tbl
#> # A tibble: 9 x 1
#>     num
#>   <dbl>
#> 1  0   
#> 2 NA   
#> 3  1e 8
#> 4  1e 9
#> 5  1e10
#> 6  1e11
#> 7  1e12
#> 8  1e13
#> 9  1e14

The tbl object contains a variety of larger numbers and some might be larger enough to reformat with a threshold value. With sub_large_vals() we can do just that:

tbl |>
  gt() |>
  fmt_number(columns = num) |>
  sub_large_vals()

Large negative values can also be handled but they are handled specially by the sign parameter. Setting that to "-" will format only the large values that are negative. Notice that with the default large_pattern value of ">={x}" the ">=" is automatically changed to "<=".

tbl |>
  dplyr::mutate(num = -num) |>
  gt() |>
  fmt_number(columns = num) |>
  sub_large_vals(sign = "-")

You don't have to settle with the default threshold value or the default replacement pattern (in large_pattern). This can be changed and the "{x}" in large_pattern (which uses the threshold value) can even be omitted.

tbl |>
  gt() |>
  fmt_number(columns = num) |>
  sub_large_vals(
    threshold = 5E10,
    large_pattern = "hugemongous"
  )

Function ID

3-34

Function Introduced

v0.6.0 (May 24, 2022)

See Also

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_percent(), fmt_roman(), fmt_scientific(), fmt_spelled_num(), fmt_tf(), fmt_time(), fmt_units(), fmt_url(), sub_missing(), sub_small_vals(), sub_values(), sub_zero()

gt documentation built on April 12, 2025, 1:26 a.m.