This helper, to be used with tbl_custom_summary(), creates a function
computing the ratio of two continuous variables and its confidence interval.
ratio_summary(numerator, denominator, na.rm = TRUE, conf.level = 0.95)(string)
String indicating the name of the variable to be summed for computing the numerator.
(string)
String indicating the name of the variable to be summed
for computing the denominator.
(scalar logical)
Should missing values be removed before summing the numerator
and the denominator? (default is TRUE)
(scalar numeric)
Confidence level for the returned confidence interval.
Must be strictly greater than 0 and less than 1. Default to 0.95, which
corresponds to a 95 percent confidence interval.
Computed statistics:
{num} sum of the variable defined by numerator
{denom} sum of the variable defined by denominator
{ratio} ratio of num by denom
{conf.low} lower confidence interval
{conf.high} upper confidence interval
Confidence interval is computed with stats::poisson.test(), if and only if
num is an integer.
# Example 1 ----------------------------------
trial |>
tbl_custom_summary(
include = c("stage", "grade"),
by = "trt",
stat_fns = ~ ratio_summary("response", "ttdeath"),
statistic = ~"{ratio} [{conf.low}; {conf.high}] ({num}/{denom})",
digits = ~ c(ratio = 3, conf.low = 2, conf.high = 2),
overall_row = TRUE,
overall_row_label = "All stages & grades"
) |>
bold_labels() |>
modify_footnote_header("Ratio [95% CI] (n/N)", columns = all_stat_cols())
Characteristic
Drug A
N = 981
Drug B
N = 1021
1 Ratio [95% CI] (n/N)