Convenience wrapper that builds a gtsummary::tbl_summary for the overall dataset.
Usage
table_overall(
d,
missing = c("ifany", "no", "always"),
stats_col_label = "Summary",
statistic = list(gtsummary::all_continuous() ~ c("{median} ({p25}, {p75})",
"{mean} +/- {sd}", "{min}, {max}"), gtsummary::all_categorical() ~ c("{n} ({p}%)")),
digits = list(gtsummary::all_continuous() ~ c(rep(1, 7))),
binary_01_only_show1 = TRUE
)Arguments
- d
data.frame Dataset containing variables to summarize.
- missing
character(1) How to display missing data. Options are "ifany", "no", or "always". Default is "ifany".
- stats_col_label
character(1) Label for the summary column in the table. Default is "Summary".
- statistic
Specifies summary statistics to display for each variable. See
gtsummary::tbl_summmarydocumentation for details.- digits
Specifies the number of decimal places to display for each summary statistic in
statistic.- binary_01_only_show1
logical(1) If TRUE, binary variables with values 0 and 1 (or No and Yes) will only show the summary for the "1" (or Yes) value. Default is TRUE.
Value
A gtsummary::tbl_summary object for the overall cohort.
Examples
df <- data.frame(age = rnorm(20, 50, 10), sex = sample(c("M","F"), 20, TRUE))
table_overall(df)
#> Setting theme "language: en"
#> Setting theme "Compact"
Characteristic
Summary
N = 20