select_helpers: Select helper functions

Description

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_continuous2() selects only type "continuous2"
all_categorical() selects categorical (including "dichotomous") variables
all_dichotomous() selects only type "dichotomous"
all_tests() selects variables by the name of the test performed
all_stat_cols() selects columns from tbl_summary/tbl_svysummary object with summary statistics (i.e. "stat_0", "stat_1", "stat_2", etc.)
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

Usage

all_continuous(continuous2 = TRUE)
all_continuous2()
all_categorical(dichotomous = TRUE)
all_dichotomous()
all_tests(tests = NULL)
all_stat_cols(stat_0 = TRUE)
all_interaction()
all_intercepts()
all_contrasts(contrasts_type = NULL)

Value

A character vector of column names selected

Arguments

continuous2: Logical indicating whether to include continuous2 variables. Default is TRUE
dichotomous: Logical indicating whether to include dichotomous variables. Default is TRUE
tests: string indicating the test type of the variables to select, e.g. select all variables being compared with "t.test"
stat_0: When FALSE, will not select the "stat_0" column. Default is TRUE
contrasts_type: 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")

Example Output

Example 1

image of rendered example table

Examples

Run this code

select_ex1 <-
  trial %>%
  select(age, response, grade) %>%
  tbl_summary(
    statistic = all_continuous() ~ "{mean} ({sd})",
    type = all_dichotomous() ~ "categorical"
  )