Entering edit mode
2.4 years ago
dec986
▴
380
Hello,
I have a list of eigenvectors from Eigenstrat PCA output:
60.922 20.946 8.721 7.292 4.306 2.821 2.765 2.752 2.741 2.725
a 10-dimensional PCA
These eigenvectors sum to > 100, thus the eigenvectors clearly don't signify significance. I remember seeing a PCA plot, where the axes labeled how much each principal component explained the variance.
How can I get these eigenvectors to explain significance of each PCA?
