Hi all,
I am using PCA function from FactoMineR package, which they return these 2 dataframes:
"$var$coord" "coord. for the variables"
"$var$contrib" "contributions of the variables"
can anyone help me explain the difference between these two factors? If I want to check what variables affect the separations on PC1 of PCA plot by ranking, which $var would be the right choice?
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written
by
QX •
1 answer
The answers to your questions are already in your post.
$var$coord gives you the coordinates of your variables on each principal component
$var$contrib gives you the contributions of each variable to each principal component (how much they contribute)
If I want to check what variables affect the separations on PC1 of PCA plot by ranking, which $var would be the right choice?
You use $var$contrib
Get familiar with Individuals/Variables, eigenvalues, eigenvectors, loadings, correlation
It is the combinaison of your variable that separate yellow and blue dots on PC1/PC2. If you want to know which one drive this behaviour the most you still have to look at $var$contrib
$coord only describe the localization of your dots on your screen
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