ItemMean {TestDataImputation} | R Documentation |
Item Mean (IM) Imputation
Description
This function imputes for all missing responses of an item by its mean (i.e., IM) on the available responses. Integrated scores for items are obtained by rounding their means to the closest possible response value.
Usage
ItemMean(test.data, Mvalue = "NA", max.score = 1, round.decimal = 0)
Arguments
test.data |
Test data set (a data frame or a matrix) containing missing responses. Missing values are coded as NA or other values (e.g., 8, 9). |
Mvalue |
Missing response indicators in the data (e.g. "NA", "8", "9", etc.). Mvalue="NA" by default. |
max.score |
The max possible response value in test data. By default max.score=1 (i.e.,binary test data). |
round.decimal |
The number of digits or decimal places for the imputed value. The default value is 0. |
Value
A data frame with all missing responses replaced by Integrated item means.
Examples
ItemMean(test.data, Mvalue="NA",max.score=1,round.decimal=0)
[Package TestDataImputation version 2.3 Index]