This function uses car::Anova(type = "III")
to calculate global p-values variables.
Output from tbl_regression
and tbl_uvregression
objects supported.
add_global_p(x, ...)# S3 method for tbl_regression
add_global_p(
x,
include = everything(),
type = NULL,
keep = FALSE,
quiet = NULL,
...,
terms = NULL
)
# S3 method for tbl_uvregression
add_global_p(
x,
type = NULL,
include = everything(),
keep = FALSE,
quiet = NULL,
...
)
Object with class tbl_regression
from the
tbl_regression function
Additional arguments to be passed to car::Anova
Variables to calculate global p-value for. Input may be a vector of
quoted or unquoted variable names. Default is everything()
Type argument passed to car::Anova
. Default is "III"
Logical argument indicating whether to also retain the individual
p-values in the table output for each level of the categorical variable.
Default is FALSE
Logical indicating whether to print messages in console. Default is
FALSE
DEPRECATED. Use include=
argument instead.
Example 1
Example 2
Other tbl_uvregression tools:
add_q()
,
bold_italicize_labels_levels
,
inline_text.tbl_uvregression()
,
modify
,
tbl_merge()
,
tbl_stack()
,
tbl_uvregression()
Other tbl_regression tools:
add_q()
,
bold_italicize_labels_levels
,
combine_terms()
,
inline_text.tbl_regression()
,
modify
,
tbl_merge()
,
tbl_regression()
,
tbl_stack()
# NOT RUN {
# Example 1 ----------------------------------
if (requireNamespace("car")) {
tbl_lm_global_ex1 <-
lm(marker ~ age + grade, trial) %>%
tbl_regression() %>%
add_global_p()
}
# Example 2 ----------------------------------
if (requireNamespace("car")) {
tbl_uv_global_ex2 <-
trial[c("response", "trt", "age", "grade")] %>%
tbl_uvregression(
method = glm,
y = response,
method.args = list(family = binomial),
exponentiate = TRUE
) %>%
add_global_p()
}
# }
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