recodeData: Recode Datasets with Several Kinds of Missing Values

In sachseka/eatPrep: Prepare Data for IRT Analyses

Recode Datasets with Several Kinds of Missing Values

Description

Recode datasets with special consideration of missing values. See collapseMissings for supported types of missing values.

Usage

recodeData(dat, values, subunits = NULL, verbose = FALSE)

Arguments

dat	A data frame
values	A data frame with code information. See ‘Details’.
subunits	A data frame with subunit information. See ‘Details’.
verbose	Logical. If TRUE additional information is printed.

Details

recodeData recodes data frames with special consideration of missing values. recodeData will give warnings, if missing or incomplete recode informations are found. Values without recode information will not be recoded.

Examples of data frames values and subunits can be found via data(inputList).

Value

A data frame with recoded variables according to the specifications in values and subunits. The columns will be named according to the specifications in subunits$subunitRecoded If subunits is not provided, item names will not be changed for recoded items.

Author(s)

Nicole Mahler, Karoline Sachse, Martin Hecht, Christiane Penk

See Also

scoreData, automateDataPreparation, inputList

Examples

data(inputDat)
data(inputList)

dat1 <- inputDat[[1]]  # get first dataset from inputDat
datRec <- recodeData(dat1, inputList$values, inputList$subunits, verbose = TRUE)
str(datRec)

sachseka/eatPrep documentation built on June 9, 2025, 9:36 a.m.