| 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)