Hi all, I'ld suggest a modelling approach. Suppose all our count data are related to one Factor. You can suppose that each observation (X1i to X8i) follow a Poisson distribution (mean Lambda1i to Lambda8i) The lambda are a liunear combination from the supposed Factor Score Lambda1i to Lambda8i=(Alpha1 to ALpha8)*FSi
Hope this helps Naji > Dear Edstat-listers, > > I have 8 variables per observation, all count data > (integers>0), and I want to be able to run an R factor > analysis to obtain factor scores. The data have the > following attributes: > > (1) Hundreds of thousands of observations at my disposal, from which I can sample if nec. > (2) Significantly non-normal, apparently not very amenable to transformations > (3) Significant portions of the observations have zeros "across the board" . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
