Substitute small values in the table body

Wherever there is numerical data that are very small in value, replacement text may be better for explanatory purposes. sub_small_vals() allows for this replacement through specification of a threshold, a small_pattern, and the sign of the values to be considered. The substitution will occur for those values found to be between 0 and the threshold value. This is possible for small positive and small negative values (this can be explicitly set by the sign option). Note that the interval does not include the 0 or the threshold value. Should you need to include zero values, use sub_zero().

Usage

sub_small_vals(
  data,
  columns = everything(),
  rows = everything(),
  threshold = 0.01,
  small_pattern = if (sign == "+") "<{x}" else md("<*abs*(-{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: 0.01

The threshold value with which values should be considered small enough for replacement.

small_pattern

Pattern specification for small values

scalar<character> // default: if (sign == "+") "<{x}" else md("<*abs*(-{x})")

The pattern text to be used in place of the suitably small 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(10^(-4:2), 0, NA))

tbl
#> # A tibble: 9 x 1
#>        num
#>      <dbl>
#> 1   0.0001
#> 2   0.001
#> 3   0.01
#> 4   0.1
#> 5   1
#> 6  10
#> 7 100
#> 8   0
#> 9  NA

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

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

This image of a table was generated from the first code example in the `sub_small_vals()` help file.

Small and negative values can also be handled but they are handled specially by the sign parameter. Setting that to "-" will format only the small, negative values.

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

This image of a table was generated from the second code example in the `sub_small_vals()` help file.

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

tbl |>
  gt() |>
  fmt_number(columns = num) |>
  sub_small_vals(
    threshold = 0.0005,
    small_pattern = "smol"
  )

This image of a table was generated from the third code example in the `sub_small_vals()` help file.

Function ID

3-33

Function Introduced

v0.6.0 (May 24, 2022)