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

```
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)
```

- 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")`

A character vector of column names selected

Example 1

Review list, formula, and selector syntax used throughout gtsummary

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