add_q
Add a column of q-values to account for multiple comparisons
Description
Adjustments to p-values are performed with stats::p.adjust.
Usage
add_q(x, method = "fdr", pvalue_fun = NULL, quiet = NULL)
Arguments
x |
a |
method |
String indicating method to be used for p-value
adjustment. Methods from
stats::p.adjust are accepted. Default is |
pvalue_fun |
Function to round and format p-values.
Default is style_pvalue.
The function must have a numeric vector input (the numeric, exact p-value),
and return a string that is the rounded/formatted p-value (e.g.
|
quiet |
Logical indicating whether to print messages in console. Default is
|
Example Output
Example 1
Example 2
Author(s)
Esther Drill, Daniel D. Sjoberg
See Also
Other tbl_summary tools:
add_n.tbl_summary(),
add_overall(),
add_p.tbl_summary(),
add_stat_label(),
bold_italicize_labels_levels,
inline_text.tbl_summary(),
inline_text.tbl_survfit(),
modify,
tbl_merge(),
tbl_stack(),
tbl_summary()
Other tbl_svysummary tools:
add_n.tbl_summary(),
add_overall(),
add_p.tbl_svysummary(),
add_stat_label(),
modify,
tbl_merge(),
tbl_stack(),
tbl_svysummary()
Other tbl_regression tools:
add_global_p(),
bold_italicize_labels_levels,
combine_terms(),
inline_text.tbl_regression(),
modify,
tbl_merge(),
tbl_regression(),
tbl_stack()
Other tbl_uvregression tools:
add_global_p(),
bold_italicize_labels_levels,
inline_text.tbl_uvregression(),
modify,
tbl_merge(),
tbl_stack(),
tbl_uvregression()
Examples
# Example 1 ----------------------------------
add_q_ex1 <-
trial[c("trt", "age", "grade", "response")] %>%
tbl_summary(by = trt) %>%
add_p() %>%
add_q()
# Example 2 ----------------------------------
if (requireNamespace("car")) {
add_q_ex2 <-
trial[c("trt", "age", "grade", "response")] %>%
tbl_uvregression(
y = response,
method = glm,
method.args = list(family = binomial),
exponentiate = TRUE
) %>%
add_global_p() %>%
add_q()
}