Format by passing data through no other transformation other than: (1) coercing to character (as all the fmt_*() functions do), and (2) applying prefixed or suffixed text via the pattern argument (the default is to apply nothing). All of this is useful when don't want to modify the input data other than to decorate it within a pattern. Also, this function is useful when used as a formatter function in the summary_rows function, where the output may be text or useful as is (that function requires a formatter function).

fmt_passthrough(data, columns, rows = NULL, escape = TRUE,
pattern = "{x}")

## Arguments

data a table object that is created using the gt() function. 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(). 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). an option to escape text according to the final output format of the table. For example, if a LaTeX table is to be generated then LaTeX escaping would be performed during rendering. By default this is set to TRUE and setting to FALSE is useful in the case where LaTeX-formatted text should be passed through to the output LaTeX table unchanged. a formatting pattern that allows for decoration of the formatted value. The value itself is represented by {x} and all other characters are taken to be string literals.

## 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

Other data formatting functions: data_color, fmt_currency, fmt_datetime, fmt_date, fmt_markdown, fmt_missing, fmt_number, fmt_percent, fmt_scientific, fmt_time, fmt, text_transform

## Examples

# Use exibble to create a gt table;
# keep only the char column;
# pass the data in that column through
# but apply a simple pattern that adds
# an 's' to the non-NA values
tab_1 <-
exibble %>%
dplyr::select(char) %>%
gt() %>%
fmt_passthrough(
columns = vars(char),
rows = !is.na(char),
pattern = "{x}s"
)