select_helpers | R Documentation |
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 |
dichotomous |
Logical indicating whether to include dichotomous variables.
Default is |
tests |
string indicating the test type of the variables to select, e.g.
select all variables being compared with |
stat_0 |
When |
contrasts_type |
type of contrast to select. When |
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"
)
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