Table 1 (baseline characteristics) stratified by group
Usage
table1(
data,
group_col = NULL,
continuous_vars = NULL,
categorical_vars = NULL,
continuous_summary = c("mean_sd", "median_iqr", "mean_ci"),
show_p = TRUE,
show_smd = TRUE,
show_missing = TRUE,
weights = NULL,
digits = 2L,
apa = FALSE,
output_format = "dataframe",
title = "Table 1. Baseline Characteristics"
)Arguments
- data
Data frame.
- group_col
Column defining groups, or NULL.
- continuous_vars
Continuous variable names (auto-detect numeric non-group columns if NULL).
- categorical_vars
Categorical names (auto-detect character / factor / logical if NULL).
- continuous_summary
"mean_sd", "median_iqr" or "mean_ci".
- show_p
Include p-value column.
- show_smd
Include SMD column (2 groups only).
- show_missing
Include missing count.
- weights
Column name for survey weights or NULL.
- digits
Decimal places.
- apa
APA-style p-value formatting.
- output_format
"dataframe", "latex", "html", "markdown", "text", "csv".
- title
Table title.
Examples
set.seed(1)
df <- data.frame(g = rep(c("a", "b"), 25), age = rnorm(50, 40, 10),
sex = sample(c("m", "f"), 50, TRUE))
res <- try(table1(df, group_col = "g", continuous_vars = "age",
categorical_vars = "sex"))
if (!inherits(res, "try-error")) head(res)
#> a b p.value X. SMD Missing
#> N 25 25
#> age, mean (SD) 41.96 (7.44) 40.05 (9.16) 0.686 0.229 0 (0.0%)
#> sex, n (%) 0.572 0 (0.0%)
#> f 14 (56.0%) 11 (44.0%)
#> m 11 (44.0%) 14 (56.0%)