Format missing values

Wherever there is missing data (i.e., NA values) a customizable mark may present better than the standard NA text that would otherwise appear. The fmt_missing() function allows for this replacement through its missing_text argument (where an em dash serves as the default).

fmt_missing(data, columns, rows = NULL, missing_text = "---")

Arguments

data	A table object that is created using the gt() function.
columns	The columns to format. Can either be a series of column names provided in vars(), a vector of column indices, or a helper function focused on selections. The select helper functions are: starts_with(), ends_with(), contains(), matches(), one_of(), and everything().
rows	Optional rows to format. Not providing any value results in all rows in columns being formatted. Can either be a vector of row captions provided c(), a vector of row indices, or a helper function focused on selections. The select helper functions are: starts_with(), ends_with(), contains(), matches(), one_of(), and everything(). We can also use expressions to filter down to the rows we need (e.g., [colname_1] > 100 & [colname_2] < 50).
missing_text	The text to be used in place of NA values in the rendered table.

Value

An object of class gt_tbl.

Details

Targeting of values is done through columns and additionally by rows (if nothing is provided for rows then entire columns are selected). A number of helper functions exist to make targeting more effective. Conditional formatting is possible by providing a conditional expression to the rows argument. See the Arguments section for more information on this.

Figures

Function ID

3-10

See also

Other Format Data: data_color(), fmt_currency(), fmt_datetime(), fmt_date(), fmt_markdown(), fmt_number(), fmt_passthrough(), fmt_percent(), fmt_scientific(), fmt_time(), fmt(), text_transform()

Examples

# Use `exibble` to create a gt table;
# NA values in different columns will
# be given replacement text
tab_1 <-
  exibble %>%
  dplyr::select(-row, -group) %>%
  gt() %>%
  fmt_missing(
    columns = 1:2,
    missing_text = "missing"
  ) %>%
  fmt_missing(
    columns = 4:7,
    missing_text = "nothing"
  )