# batteryreduction: A function for data reduction In batteryreduction: An R Package for Data Reduction by Battery 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

 `1` ```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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```## 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) ```

batteryreduction documentation built on May 2, 2019, 11:26 a.m.