loadplot {StatDA} | R Documentation

## Plot the Loadings of a FA

### Description

Makes a Reimann-plot of a loadings matrix.

### Usage

    loadplot(fa.object, titlepl = "Factor Analysis", crit = 0.3, length.varnames = 2)

### Arguments

`fa.object` | the output of factor analysis class
`titlepl` | the title of the plot
`crit` | all loadings smaller than crit will be ignored in the plot
`length.varnames` | number of letters for abbreviating the variable names in the plot

### Value

Plot of the loadings of a FA therefore a object of factor analysis class must be provided.

### Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at>

### References

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

### Examples

    data(moss)
    var=c("Ag","Al","As","B","Ba","Bi","Ca","Cd","Co","Cr","Cu","Fe","Hg","K","Mg","Mn","Mo",
          "Na","Ni","P","Pb","Rb","S","Sb","Si","Sr","Th","Tl","U","V","Zn")
    x=log10(moss[,var])

    x.mcd=covMcd(x,cor=TRUE)
    x.rsc=scale(x,x.mcd$cent,sqrt(diag(x.mcd$cov)))
    res5=pfa(x.rsc,factors=2,covmat=x.mcd,scores="regression",rotation="varimax",
        maxit=0,start=rep(0,ncol(x.rsc)))
    loadplot(res5,titlepl="Robust FA (log-transformed)", crit=0.3)

[Package StatDA version 1.0 Index]