Reweight Variables

Description

Reweighting function to preprocess a data matrix prior to Minkovski distance calculation.

Usage

reweight.data(DATA = NULL, weights = NULL, minkovski_factor = 1)

Arguments

Value

Returns a data matrix with the same dimensions as DATA.

Author(s)

Dieter William Joenssen Dieter.Joenssen@googlemail.com

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)

#choose variable variances
Weights<-1/apply(X=Y,MARGIN=2,FUN=var)

#reweight data for faster Euclidean distance calculation
reweight.data(DATA = Y, weights = Weights, minkovski_factor = 2)

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.
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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