Type: Package
Title: An R Package for Data Reduction by Battery Reduction
Version: 0.1.1
Depends: R (≥ 3.0.2)
Imports: stats, pracma
Date: 2015-10-08
Maintainer: Chunqiao Luo <chunqiaoluo@gmail.com>
Description: Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to find out a subset of variables best representing the original set of variables.
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Packaged: 2015-12-22 22:56:08 UTC; luochunqiao
Author: Chunqiao Luo [aut, cre], Ralph D'Agostino [aut] (This package is derived from Battery Reduction Macro at http://www.lexjansen.com/nesug/nesug92/NESUG92090.pdf)
Repository: CRAN
Date/Publication: 2015-12-23 06:53:04

A function for data reduction

Description

Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to find out a subset of variables best representing the original set of variables.

Usage

batteryreduction(vars, numfact, data)

Arguments

vars

a vector of variable names

numfact

numeric, number of variables to be selected

data

a dataframe

Value

If numfact=1, reda matrix and selected variable are returned. If numfact>=2, reda matrix, rota matrix, and selected variables are returned.

References

D'Agostino, R. B., & Zhang, Z. (1992). Data/variable reduction by principal components, battery reduction and variable clustering. MATRIX, 7(60), 06.

Hans Werner Borchers (2015). pracma: Practical Numerical Math Functions. R package version 1.8.6. http://CRAN.R-project.org/package=pracma

Examples

## Generate an example dataset
set.seed(1234)
data<-data.frame(x1=rnorm(n=100, mean=14, sd=7),
x2=rnorm(n=100, mean=3, sd=1),
x3=rpois(n=100, lambda=1),
x4=rpois(n=100, lambda=10),
x5=rgamma(n=100, shape=1),
x6=rgamma(n=100, shape=10))
## Demonstrate batteryreduction
vars<-c('x1','x2','x3','x4','x5','x6')
numfact<-3
batteryreduction(vars, numfact, data)