Modify formatting functions

Use this function to update the way numeric columns and rows of .$table_body are formatted

Usage

modify_fmt_fun(x, ..., rows = NULL, update, quiet)

Arguments

x

(gtsummary)
A gtsummary object

...

dynamic-dots
Used to assign updates to formatting functions.

Use modify_fmt_fun(colname = <fmt fn>) to update a single column. Using a formula will invoke tidyselect, e.g. modify_fmt_fun(c(estimate, conf.low, conf.high) ~ <fmt_fun>).

Use the show_header_names() to see the column names that can be modified.

rows

(predicate expression)
Predicate expression to select rows in x$table_body. Can be used to style footnote, formatting functions, missing symbols, and text formatting. Default is NULL. See details below.

update, quiet

rows argument

The rows argument accepts a predicate expression that is used to specify rows to apply formatting. The expression must evaluate to a logical when evaluated in x$table_body. For example, to apply formatting to the age rows pass rows = variable == "age". A vector of row numbers is NOT acceptable.

A couple of things to note when using the rows argument.

1. You can use saved objects to create the predicate argument, e.g. rows = variable == letters[1].

2. The saved object cannot share a name with a column in x$table_body. The reason for this is that in tbl_merge() the columns are renamed, and the renaming process cannot disambiguate the variable column from an external object named variable in the following expression rows = .data$variable = .env$variable.

Examples

# Example 1 ----------------------------------
# show 'grade' p-values to 3 decimal places and estimates to 4 sig figs
lm(age ~ marker + grade, trial) |>
  tbl_regression() %>%
  modify_fmt_fun(
    p.value = label_style_pvalue(digits = 3),
    c(estimate, conf.low, conf.high) ~ label_style_sigfig(digits = 4),
    rows = variable == "grade"
  )


  
Characteristic
      
Beta
      
95% CI1
      
p-value
    
Marker Level (ng/mL)
-0.04
-2.6, 2.5
>0.9
Grade





    I
—
—

    II
0.6365
-4.684, 5.957
0.814
    III
2.394
-2.822, 7.610
0.366
1 CI = Confidence Interval