micePMM {TestDataImputation}

Predictive mean matching (PMM)

Description

This function imputes for all missing responses using predictive mean matching. The mice () function with default settings from the mice package (Van Buuren & Groothuis-Oudshoorn, 2011 <doi: 10.18637/jss.v045.i03>) is used to impute for the missing responses.

Usage

micePMM(test.data, Mvalue = "NA")

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.

Value

A data frame with all missing responses replaced by integrated imputed values.

References

Van Buuren, S., & Groothuis-Oudshoorn, K. (2011). "mice: Multivariate imputation by chained equations in R." Journal of statistical software, 45(1), 1-67. DOI: 10.18637/jss.v045.i03.

Examples

 
        micePMM(test.data, Mvalue="NA")