Returns ids coverage per value track.
emr_ids_vals_coverage(ids, tracks, stime = NULL, etime = NULL, filter = NULL)
track name or Ids Table
a vector of track names
start time scope
end time scope
iterator filter
A data frame containing the number of ids for each track value.
This function accepts a set of ids and a vector of categorical tracks. For each track value it calculates how many ids share this value. Each id is counted only once. A data frame with 3 columns 'track', 'val' and 'count' is returned.
Ids can originate from a track or be provided within Ids Table.
Note: The internal iterator that runs over each track is defined with 'keepref=TRUE'.
emr_db.init_examples()
#> NULL
emr_ids_vals_coverage(data.frame(id = c(15, 24, 27)), "categorical_track")
#> track val count
#> 1 categorical_track 0 0
#> 2 categorical_track 1 0
#> 3 categorical_track 2 2
#> 4 categorical_track 3 2
#> 5 categorical_track 4 1