Drops items from the response data (and the response times), marks every
open flag about them as fixed, and logs the decision. A model fitted
earlier no longer matches the data, so calibrate() has to be run again.
Arguments
- p
a pipeline with responses from
add_responses().- items
item names to remove.
- note
the reason, kept in the log and the report.
Examples
# \donttest{
p <- add_responses(mv_pipeline(), certexam, items = 3:34, key = certexam_key)
p <- drop_items(p, "Q14", note = "Miskeyed")
# }