Hello,

I am wondering if anyone knows if it is possible to make charts in R similar to the ones shown here.

Basically, I have done principal component analysis, and would like to determine how much different sources of experimental variation (microarray chip, tissue type, age/sex of specimen, etc) have an effect on the data, and the relationship between the variance components and the principal components.

Any help is greatly appreciated!

Thanks.