Add statistic labels

Adds or modifies labels describing the summary statistics presented for each variable in a tbl_summary() table.

Usage

add_stat_label(x, ...)

# S3 method for class 'tbl_summary'
add_stat_label(x, location = c("row", "column"), label = NULL, ...)

# S3 method for class 'tbl_svysummary'
add_stat_label(x, location = c("row", "column"), label = NULL, ...)

# S3 method for class 'tbl_ard_summary'
add_stat_label(x, location = c("row", "column"), label = NULL, ...)

Arguments

x

(tbl_summary)
Object with class 'tbl_summary' or with class 'tbl_svysummary'

...

These dots are for future extensions and must be empty.

location

(string)
Location where statistic label will be included. "row" (the default) to add the statistic label to the variable label row, and "column" adds a column with the statistic label.

label

(formula-list-selector)
indicates the updates to the statistic label, e.g. label = all_categorical() ~ "No. (%)". When not specified, the default statistic labels are used.

Value

A tbl_summary or tbl_svysummary object

Tips

When using add_stat_label(location='row') with subsequent tbl_merge(), it's important to have somewhat of an understanding of the underlying structure of the gtsummary table. add_stat_label(location='row') works by adding a new column called "stat_label" to x$table_body. The "label" and "stat_label" columns are merged when the gtsummary table is printed. The tbl_merge() function merges on the "label" column (among others), which is typically the first column you see in a gtsummary table. Therefore, when you want to merge a table that has run add_stat_label(location='row') you need to match the "label" column values before the "stat_column" is merged with it.

For example, the following two tables merge properly

tbl1 <- trial %>% select(age, grade) |> tbl_summary() |> add_stat_label()
tbl2 <- lm(marker ~ age + grade, trial) |> tbl_regression()

tbl_merge(list(tbl1, tbl2))

The addition of the new "stat_label" column requires a default labels for categorical variables, which is "No. (%)". This can be changed to either desired text or left blank using NA_character_. The blank option is useful in the location="row" case to keep the output for categorical variables identical what was produced without a "add_stat_label()" function call.

Author

Daniel D. Sjoberg

Examples

tbl <- trial |>
  dplyr::select(trt, age, grade, response) |>
  tbl_summary(by = trt)

# Example 1 ----------------------------------
# Add statistic presented to the variable label row
tbl |>
  add_stat_label(
    # update default statistic label for continuous variables
    label = all_continuous() ~ "med. (iqr)"
  )


  
Characteristic
      
Drug A

N = 98
      
Drug B

N = 102
    
Age, med. (iqr)
46 (37, 60)
48 (39, 56)
    Unknown
7
4
Grade, n (%)



    I
35 (36%)
33 (32%)
    II
32 (33%)
36 (35%)
    III
31 (32%)
33 (32%)
Tumor Response, n (%)
28 (29%)
33 (34%)
    Unknown
3
4

# Example 2 ----------------------------------
tbl |>
  add_stat_label(
    # add a new column with statistic labels
    location = "column"
  )


  
Characteristic
      
Statistic
      
Drug A

N = 98
      
Drug B

N = 102
    
Age
Median (Q1, Q3)
46 (37, 60)
48 (39, 56)
    Unknown
n
7
4
Grade





    I
n (%)
35 (36%)
33 (32%)
    II
n (%)
32 (33%)
36 (35%)
    III
n (%)
31 (32%)
33 (32%)
Tumor Response
n (%)
28 (29%)
33 (34%)
    Unknown
n
3
4

# Example 3 ----------------------------------
trial |>
  select(age, grade, trt) |>
  tbl_summary(
    by = trt,
    type = all_continuous() ~ "continuous2",
    statistic = all_continuous() ~ c("{median} ({p25}, {p75})", "{min} - {max}"),
  ) |>
  add_stat_label(label = age ~ c("IQR", "Range"))


  
Characteristic
      
Drug A

N = 98
      
Drug B

N = 102
    
Age



    IQR
46 (37, 60)
48 (39, 56)
    Range
6 - 78
9 - 83
    Unknown
7
4
Grade, n (%)



    I
35 (36%)
33 (32%)
    II
32 (33%)
36 (35%)
    III
31 (32%)
33 (32%)