Turns the subject ID columns of all datasets into a factor containing levels for all
the subjects of the database. Avoid problems when joining tables, and some checks can
be performed on the levels. See vignette("postprocessing") for a real-life case.
Usage
edc_unify_subjid(
database,
preprocess = NULL,
mode = c("factor", "numeric"),
col_subjid = NULL
)Arguments
- database
an edc_database object, from
read_trialmaster()or other EDCimport reading functions.- preprocess
an optional function to modify the subject ID column (at the character level). Default behavior is only to remove trailing zeros if numeric.
- mode
the output type of the subject ID columns
- col_subjid
names of the subject ID columns (as character)
Examples
db = edc_example()
#> Warning: Option "edc_lookup" has been overwritten.
db$enrol$subjid %>% head() #double vector
#> [1] 1 2 3 4 5 6
db2 = edc_unify_subjid(db)
db2$enrol$subjid %>% head() #factor with 50 levels
#> [1] 1 2 3 4 5 6
#> 50 Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 ... 50
db3 = edc_unify_subjid(db, preprocess=function(x) paste0("#", x))
db3$enrol$subjid %>% head()
#> [1] #1 #2 #3 #4 #5 #6
#> 50 Levels: #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 #11 #12 #13 #14 #15 #16 #17 ... #50
#use numeric mode to get a numeric output
db4 = edc_unify_subjid(db, preprocess=function(x) as.numeric(x)+1, mode="numeric")
db4$enrol$subjid %>% head()
#> [1] 2 3 4 5 6 7