Making Variance Component Analysis Charts in R
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Entering edit mode
9.9 years ago
hmg ▴ 20

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.

R PCA VCA variance components microarrays • 3.2k views
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Entering edit mode
9.9 years ago
Michael 54k

Yes it is possible, see ?prcomp and ?princomp, the first plot can be made by plot(princomp(mydata)). Edit: sorry the plot shown in that link is not exactly the same as the factor loadings.

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