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**",
  missing = c("ifany", "no", "always")
)

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.
missing: character(1) How to display missing data. Options are "ifany", "no", or "always". Default is "ifany".

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)
48.2 (38.2, 55.3)
44.9 (39.1, 54.4)
49.3 (34.0, 56.1)
    Min, Max
26.0, 61.8
37.2, 61.8
26.0, 58.5
sex





    F
7 (35%)
3 (43%)
4 (57%)
    M
13 (65%)
7 (54%)
6 (46%)

Characteristic	Overall N = 20	Group
Characteristic	Overall N = 20	A n = 10	B n = 10
age
Median (Q1, Q3)	48.2 (38.2, 55.3)	44.9 (39.1, 54.4)	49.3 (34.0, 56.1)
Min, Max	26.0, 61.8	37.2, 61.8	26.0, 58.5
sex
F	7 (35%)	3 (43%)	4 (57%)
M	13 (65%)	7 (54%)	6 (46%)