# CorCompare: Compares Correlation Matrices In StatDA: Statistical Analysis for Environmental Data

## Description

This function compares two correlation matrices numerically and graphically.

## Usage

 ```1 2 3``` ```CorCompare(cor1, cor2, labels1, labels2, method1, method2, ndigits = 4, lty1 = 1, lty2 = 2, col1 = 1, col2 = 2, lwd1 = 1.1, lwd2 = 1.1, cex.label = 1.1, cex.legend = 1.2, lwd.legend = 1.2, cex.cor = 1, ...) ```

## Arguments

 `cor1,cor2` two correlation matrices based on different estimation methods `labels1, labels2` labels for the two estimation methods `method1, method2` description of the estimation methods `ndigits` number of digits to be used for plotting the numbers `lty1, lty2, col1,col2, lwd1, lwd2, cex.label, cex.cor` other graphics parameters `cex.legend, lwd.legend` graphical parameters for the legend `...` further graphical parameters for the ellipses

## Details

The ellipses are plotted with the function do.ellipses. Therefore the radius is calculated with singular value decomposition.

## Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://cstat.tuwien.ac.at/filz/

## References

C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons, Chichester, 2008.

## Examples

 ```1 2 3 4 5 6 7 8``` ```data(chorizon) x=chorizon[,c("Ca","Cu","Mg","Na","P","Sr","Zn")] par(mfrow=c(1,1),mar=c(4,4,2,0)) R=robustbase::covMcd(log10(x),cor=TRUE)\$cor P=cor(log10(x)) CorCompare(R,P,labels1=dimnames(x)[],labels2=dimnames(x)[], method1="Robust",method2="Pearson",ndigits=2, cex.label=1.2) ```

StatDA documentation built on March 13, 2020, 2:42 a.m.