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Adjustments to p-values are performed with stats::p.adjust.
add_q(x, method = "fdr", pvalue_fun = NULL, quiet = NULL)
a gtsummary
object
String indicating method to be used for p-value
adjustment. Methods from
stats::p.adjust are accepted. Default is method = "fdr"
.
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.
pvalue_fun = function(x) style_pvalue(x, digits = 2)
or equivalently,
purrr::partial(style_pvalue, digits = 2)
).
Logical indicating whether to print messages in console. Default is
FALSE
Example 1
Example 2
Other tbl_summary tools:
add_ci()
,
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
,
separate_p_footnotes()
,
tbl_custom_summary()
,
tbl_merge()
,
tbl_split()
,
tbl_stack()
,
tbl_strata()
,
tbl_summary()
Other tbl_svysummary tools:
add_n.tbl_summary()
,
add_overall()
,
add_p.tbl_svysummary()
,
add_stat_label()
,
modify
,
separate_p_footnotes()
,
tbl_merge()
,
tbl_split()
,
tbl_stack()
,
tbl_strata()
,
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_split()
,
tbl_stack()
,
tbl_strata()
Other tbl_uvregression tools:
add_global_p()
,
bold_italicize_labels_levels
,
inline_text.tbl_uvregression()
,
modify
,
tbl_merge()
,
tbl_split()
,
tbl_stack()
,
tbl_strata()
,
tbl_uvregression()
# NOT RUN {
# Example 1 ----------------------------------
add_q_ex1 <-
trial[c("trt", "age", "grade", "response")] %>%
tbl_summary(by = trt) %>%
add_p() %>%
add_q()
# Example 2 ----------------------------------
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()
# }
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