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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.

Usage

drop_items(p, items, note = "")

Arguments

p

a pipeline with responses from add_responses().

items

item names to remove.

note

the reason, kept in the log and the report.

Value

The pipeline without the items.

Examples

# \donttest{
p <- add_responses(mv_pipeline(), certexam, items = 3:34, key = certexam_key)
p <- drop_items(p, "Q14", note = "Miskeyed")
# }