View source: R/utils-tbl_custom_summary.R
ratio_summary | R Documentation |
experimental
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)
numerator |
String indicating the name of the variable to be summed for computing the numerator. |
denominator |
String indicating the name of the variable to be summed for computing the denominator. |
na.rm |
Should missing values be removed before summing the numerator
and the denominator? (default is |
conf.level |
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
Joseph Larmarange
Other tbl_custom_summary tools:
add_overall()
,
continuous_summary()
,
proportion_summary()
,
tbl_custom_summary()
# Example 1 ----------------------------------
ratio_summary_ex1 <-
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(3, 2, 2, 0, 0),
overall_row = TRUE,
overall_row_label = "All stages & grades"
) %>%
bold_labels() %>%
modify_footnote(
update = all_stat_cols() ~ "Ratio [95% CI] (n/N)"
)
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