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, ... )
x | Object with class |
---|---|
... | Additional arguments to be passed to car::Anova |
include | Variables to calculate global p-value for. Input may be a vector of
quoted or unquoted variable names. Default is |
type | Type argument passed to car::Anova. Default is |
keep | Logical argument indicating whether to also retain the individual
p-values in the table output for each level of the categorical variable.
Default is |
quiet | Logical indicating whether to print messages in console. Default is
|
terms | DEPRECATED. Use |
Example 1
Example 2
Other tbl_uvregression tools:
add_nevent.tbl_uvregression()
,
add_q()
,
bold_italicize_labels_levels
,
inline_text.tbl_uvregression()
,
modify
,
tbl_merge()
,
tbl_stack()
,
tbl_uvregression()
Other tbl_regression tools:
add_nevent.tbl_regression()
,
add_q()
,
bold_italicize_labels_levels
,
combine_terms()
,
inline_text.tbl_regression()
,
modify
,
tbl_merge()
,
tbl_regression()
,
tbl_stack()
Daniel D. Sjoberg
# Example 1 ---------------------------------- tbl_lm_global_ex1 <- lm(marker ~ age + grade, trial) %>% tbl_regression() %>% add_global_p()#>#> #># Example 2 ---------------------------------- 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()#>#> #>