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HotDeckImputation (version 1.1.0)

impute.mean: Attribute Wise Mean Imputation

Description

This function imputes the column mean of the complete cases for the missing cases. Utilized by impute.NN_HD as a method for dealing with missing values in distance calculation.

Usage

impute.mean(DATA = NULL)

Arguments

DATA
Data with missing values.

Value

DATA.

References

Little, R.J.A and Rubin, D.B. (2002) Statistical Analysis with Missing Data. Hoboken: Wiley.

Joenssen, D.W. (2015) Hot-Deck-Verfahren zur Imputation fehlender Daten -- Auswirkungen des Donor-Limits. Ilmenau: Ilmedia. [in German, Dissertation]

See Also

impute.NN_HD

Examples

Run this code
#Set the random seed to an arbitrary number
set.seed(421)

#Generate matrix of random integers
Y<-matrix(sample(0:9,replace=TRUE,size=6*3),nrow=6)

#generate 6 missing values, MCAR, in all but the first row
Y[-1,][sample(1:12,size=6)]<-NA

#Impute the colMeans of Y
impute.mean(DATA=Y)

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