Create overall and by-group summary table — table_overall_and

The Overall column reports percentages for the overall cohort. The group columns report row-wise percentages.

Usage

table_overall_and_group(d, name_groupvar, group_header = "**Group**")

Arguments

d: data.frame. Dataset containing variables to summarize.
name_groupvar: character(1). Name of the grouping variable (column name) in d used to produce the grouped summary.
group_header: character(1). Label used as the tab spanner for the grouped columns in the merged table.

Value

A gtsummary table object

Details

The function builds two tbl_summary objects: one for the overall dataset (with the grouping column removed) and one stratified by the specified grouping variable. It then merges them into a single table with a custom tab spanner for the grouped columns.

Examples

df <- data.frame(
  grp = rep(c("A","B"), each = 10),
  age = rnorm(20, 50, 10),
  sex = sample(c("M","F"), 20, TRUE)
)
table_overall_and_group(df, "grp")
#> Setting theme "language: en"
#> Setting theme "Compact"


  Characteristic
      Overall
N = 20
      
        Group
      
    
A
n = 10
      B
n = 10
    
age





    Median (Q1, Q3)
45.7 (42.3, 50.8)
42.9 (42.2, 47.2)
48.8 (43.7, 52.1)
    Min, Max
35.7, 56.6
35.7, 56.2
41.0, 56.6
sex





    F
11 (55%)
4 (36%)
7 (64%)
    M
9 (45%)
6 (67%)
3 (33%)

Characteristic	Overall N = 20	Group
Characteristic	Overall N = 20	A n = 10	B n = 10
age
Median (Q1, Q3)	45.7 (42.3, 50.8)	42.9 (42.2, 47.2)	48.8 (43.7, 52.1)
Min, Max	35.7, 56.6	35.7, 56.2	41.0, 56.6
sex
F	11 (55%)	4 (36%)	7 (64%)
M	9 (45%)	6 (67%)	3 (33%)