Talk:Correspondence analysis

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It may be confusing to say that CA differs from PCA in that it "applies to categorical rather than continuous data". The CA is applied to a matrix of numbers, just as PCA is. I think the text should say it "is intended for count data rather than continuous data". RMGunton (talk) 21:24, 4 August 2011 (UTC)


I believe that the preprocessing of CA works specifically under the assumptions of a contingency table (counts, as in CA or disjunctive coding, as in MCA). If applied to continuous data, it should be assumed to be proportions, or in the very least, something that can be analyzed with a chi-squared test. Plain old continuous data, while it can go into a CA, is not always appropriate to analyze with CA. --Dfbeaton (talk) 16:19, 17 February 2013 (UTC)