# loadplot: Plot the Loadings of a FA In StatDA: Statistical Analysis for Environmental Data

## 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> 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

``````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=robustbase::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)

``````

StatDA documentation built on June 7, 2023, 6:26 p.m.