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

Value

Returns an imputed data matrix with the same dimensions as DATA.

Author(s)

Dieter William Joenssen Dieter.Joenssen@googlemail.com

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

#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)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(HotDeckImputation)
Error in library(HotDeckImputation) : 
  there is no package called 'HotDeckImputation'
Execution halted