These functions check to see if values (e.g labels, formats) that should be consistent for a variable across all data are actually consistent.
check_inconsistent_labels(metacore)
check_inconsistent_types(metacore)
check_inconsistent_formats(metacore)If all variables are consistent it will return a message. If there are inconsistencies it will return a message and a dataset of the variables with inconsistencies.
## EXAMPLE WITH DUPLICATES
# Loads in a metacore obj called metacore
load(metacore_example("pilot_ADaM.rda"))
check_inconsistent_labels(metacore)
#> Warning: Mismatch labels detected
#> # A tibble: 4 × 4
#> variable label n_vars ls_of_vars
#> <chr> <chr> <int> <list>
#> 1 ANL01FL Analysis Flag 01 1 <chr [1]>
#> 2 ANL01FL Analysis Record Flag 01 1 <chr [1]>
#> 3 USUBJID Unique Subject Identified 3 <chr [3]>
#> 4 USUBJID Unique Subject Identifier 2 <chr [2]>
check_inconsistent_types(metacore)
#> Warning: Mismatch types detected
#> # A tibble: 6 × 4
#> variable type n_vars ls_of_vars
#> <chr> <chr> <int> <list>
#> 1 AVAL float 1 <chr [1]>
#> 2 AVAL integer 2 <chr [2]>
#> 3 BASE float 1 <chr [1]>
#> 4 BASE integer 1 <chr [1]>
#> 5 CHG float 1 <chr [1]>
#> 6 CHG integer 1 <chr [1]>
## EXAMPLE WITHOUT DUPLICATES
# Loads in a metacore obj called metacore
load(metacore_example("pilot_SDTM.rda"))
check_inconsistent_labels(metacore)
#> No mismatch labels detected
check_inconsistent_formats(metacore)
#> No mismatch formats detected
check_inconsistent_types(metacore)
#> No mismatch types detected