Twoway {TestDataImputation} | R Documentation |
Two-Way Imputation (TW)
Description
This function imputes for all missing responses using two-way imputation. Integrated responses are obtained by rounding imputed values to the closest possible response value. If a case showed missingness on all the variables (i.e., empty record), the missing values are replaced by item means first. see Sijtsma and van der Ark (2003) <doi: 10.1207/s15327906mbr3804_4>;
Usage
Twoway(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 two-way imputed values.
References
Bernaards, C. A., & Sijtsma, K. (2000). " Influence of imputation and EM methods on factor analysis when item nonresponse in questionnaire data is nonignorable." Multivariate Behavioral Research, 35(3), 321-364.DOI: 10.1207/S15327906MBR3503_03.
Examples
Twoway(test.data, Mvalue="NA",max.score=1,round.decimal=0)