Top "Princomp" questions

Principal component analysis (PCA) is a statistical technique for dimension reduction often used in clustering or factor analysis.

Principal Components Analysis - how to get the contribution (%) of each parameter to a Prin.Comp.?

I want to know to what degree a measurement/parameter contributes to one of the calculated principal components. A real-world …

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r statistics princomp
How to get "proportion of variance" vector from princomp in R

This should be very basic and I hope someone can help me. I ran a principal component analysis with the …

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r pca variance princomp
How to use princomp () function in R when covariance matrix has zero's?

While using princomp() function in R, the following error is encountered : "covariance matrix is not non-negative definite". I think, this …

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r statistics pca eigenvector princomp
Matlab: how to find which variables from dataset could be discarded using PCA in matlab?

I am using PCA to find out which variables in my dataset are redundand due to being highly correlated with …

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matlab pca princomp