Set of functions to supplement the tidyselect set of functions for selecting columns of data frames (and other items as well).
all_continuous() selects continuous variables
all_categorical() selects categorical (including "dichotomous") variables
all_dichotomous() selects only type "dichotomous"
all_interaction() selects interaction terms from a regression model
all_intercepts() selects intercept terms from a regression model
all_contrasts() selects variables in regression model based on their type
of contrast
all_ran_pars() and all_ran_vals() for random-effect parameters and
values from a mixed model
(see vignette("broom_mixed_intro", package = "broom.mixed"))
all_continuous()
all_dichotomous()
all_categorical(dichotomous = TRUE)
all_interaction()
all_ran_pars()
all_ran_vals()
all_intercepts()
all_contrasts(contrasts_type = NULL)Logical indicating whether to include dichotomous variables.
Default is TRUE
type of contrast to select. When NULL, all variables with a
contrast will be selected. Default is NULL. Select among contrast types
c("treatment", "sum", "poly", "helmert", "other")
A character vector of column names selected
if (FALSE) { # interactive()
glm(response ~ age * trt + grade, gtsummary::trial, family = binomial) %>%
tidy_plus_plus(exponentiate = TRUE, include = all_categorical())
glm(response ~ age + trt + grade + stage,
gtsummary::trial,
family = binomial,
contrasts = list(trt = contr.SAS, grade = contr.sum, stage = contr.poly)
) %>%
tidy_plus_plus(
exponentiate = TRUE,
include = all_contrasts(c("treatment", "sum"))
)
}