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Select helper functions

Source: R/select_helpers.R
select_helpers.Rd

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"))

Usage

all_continuous(continuous2 = TRUE)

all_categorical(dichotomous = TRUE)

all_dichotomous()

all_interaction()

all_ran_pars()

all_ran_vals()

all_intercepts()

all_contrasts(
  contrasts_type = c("treatment", "sum", "poly", "helmert", "sdif", "other")
)

Arguments

continuous2

(logical)
Whether to include continuous2 variables, default is TRUE. For compatibility with {gtsummary}), see gtsummary::all_continuous2().

dichotomous

(logical)
Whether to include dichotomous variables, default is TRUE.

contrasts_type

(string)
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", "sdif", "other").

Value

A character vector of column names selected.

See also

scope_tidy()

Examples

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"))
  )
}