Populate the provided cdi data with percentile values for that specific age, instrument_type, measure and language. Loosely based on the work from this repo https://github.com/kachergis/cdi-percentiles/tree/main by George Kachergis and Jess Mankewitz with advice from Virginia Marchman.

populate_cdi_percentiles(subjects_table)

Arguments

subjects_table: a subjects table with unnested cdi data, needs columns "subject_id", "language", "instrument_type", "age", "sex", "measure", "rawscore"

Value

the input table with added columns containing the reference age used, the reference year used, and both gender specific and general percentile values for the cdi score

Examples

if (FALSE) { # \dontrun{
full_cdi_data <- all_subjects %>%
  unnest(subject_aux_data) %>%
  filter(!is.na(cdi_responses)) %>%
  unnest(cdi_responses) %>%
  peekbankr::cleanup_cdi_data() %>%
  peekbankr::populate_cdi_percentiles()
} # }