recode_nr: Recognize and recode not-reached responses

In ShinyItemAnalysis: Test and Item Analysis via Shiny

Recognize and recode not-reached responses

Description

recode_nr() function recognizes and recodes not-reached responses, i.e., missing responses to items such that all subsequent items are missed as well by the respondent.

Usage

recode_nr(Data, nr_code = 99, df)

Arguments

Data	matrix or data.frame: object to be recoded, must include only items columns and no additional information
nr_code	single character, integer or numeric: specifying how should be recognized not-reached responses coded (default is 99)
df	deprecated. Use argument Data instead.

Value

A data.frame object.

Author(s)

Jan Netik
Institute of Computer Science of the Czech Academy of Sciences
[e-mail]

Patricia Martinkova
Institute of Computer Science of the Czech Academy of Sciences
[e-mail]

See Also

ItemAnalysis()

Examples

HCImissed <- HCI[, 1:20]

# simulate skipped (missed) and not-reached items in HCI dataset
set.seed(4211)
for (i in 1:150) {
  # not-reached (minimum at 10th item, maximum at 20th)
  HCImissed[sample(1:nrow(HCImissed), 1), seq(sample(10:20, 1), 20)] <- NA

  # missed with random location
  HCImissed[sample(1:nrow(HCImissed), 1), sample(1:20, 1)] <- NA
}

summary(HCImissed)

HCImissedNR <- recode_nr(HCImissed, nr_code = 99)
head(HCImissedNR)
summary(HCImissedNR)

ShinyItemAnalysis documentation built on May 31, 2023, 7:08 p.m.