ARD Selectors

Source: R/selectors.R

These selection helpers match variables according to a given pattern.

  • all_ard_groups(): Function selects grouping columns, e.g. columns named "group##" or "group##_level".

  • all_ard_variables(): Function selects variables columns, e.g. columns named "variable" or "variable_level".

  • all_ard_group_n(): Function selects n grouping columns.

  • all_missing_columns(): Function selects columns that are all NA or empty.

all_ard_groups(types = c("names", "levels"))

all_ard_variables(types = c("names", "levels"))

all_ard_group_n(n, types = c("names", "levels"))

all_missing_columns()

Arguments

types

(character)
type(s) of columns to select. "names" selects the columns variable name columns, and "levels" selects the level columns. Default is c("names", "levels").

n

(integer)
integer(s) indicating which grouping columns to select.

Value

tidyselect output

Examples

ard <- ard_tabulate(ADSL, by = "ARM", variables = "AGEGR1")

ard |> dplyr::select(all_ard_groups())
#> # An ARD data frame: 27 × 2
#>    group1 group1_level        
#>    <chr>  <list>              
#>  1 ARM    Placebo             
#>  2 ARM    Placebo             
#>  3 ARM    Placebo             
#>  4 ARM    Placebo             
#>  5 ARM    Placebo             
#>  6 ARM    Placebo             
#>  7 ARM    Placebo             
#>  8 ARM    Placebo             
#>  9 ARM    Placebo             
#> 10 ARM    Xanomeline High Dose
#> # ℹ 17 more rows
ard |> dplyr::select(all_ard_variables())
#> # An ARD data frame: 27 × 2
#>    variable variable_level
#>    <chr>    <list>        
#>  1 AGEGR1   65-80         
#>  2 AGEGR1   65-80         
#>  3 AGEGR1   65-80         
#>  4 AGEGR1   <65           
#>  5 AGEGR1   <65           
#>  6 AGEGR1   <65           
#>  7 AGEGR1   >80           
#>  8 AGEGR1   >80           
#>  9 AGEGR1   >80           
#> 10 AGEGR1   65-80         
#> # ℹ 17 more rows