Dear R users and experts, I am using Homals to perform categorical PCA on some survey data. The documentation is a bit obscure, however, I followed the examples. X is a matrix with ordinal 1-5 Likert scale entries on 24 questions from about 2500 respondents. So I run X.nlpc = homals(X, rank = 1, level = "ordinal", ndim = 10) to get the first 10 pc's (the number of dimensions is irrelevant to my problem). I happen to get eigenvalues in nondecreasing order and I am not sure how to interpret this. Can someone help me? By the way, I would also be interested in knowing if someone has ever compared the homals solutions with the ones from the categorical quantizations performed with the Aspect package. And, yes, I wrote to package maintainer but I didn't get an answer. Thanks in advance. Marco -- "Anyone who lives within their means suffers from a lack of imagination." [[alternative HTML version deleted]]
Dear R users and experts, I am using Homals to perform categorical PCA on some survey data. The documentation is a bit obscure, however, I followed the examples. X is a matrix with ordinal 1-5 Likert scale entries on 24 questions from about 2500 respondents. So I run X.nlpc = homals(X, rank = 1, level = "ordinal", ndim = 10) to get the first 10 pc's (the number of dimensions is irrelevant to my problem). I happen to get eigenvalues in nondecreasing order and I am not sure how to interpret this. Can someone help me? By the way, I would also be interested in knowing if someone has ever compared the homals solutions with the ones from the categorical quantizations performed with the Aspect package. And, yes, I wrote to package maintainer but I didn't get an answer. Thanks in advance. Marco -- "Anyone who lives within their means suffers from a lack of imagination." [[alternative HTML version deleted]]