Peter, As I understand your Q. You probably have data that is similar to each other like stock Prices for all RHS variable. In that case the difference between corr and cov is not significant; however, if your RHS contains totally dissimilar variables it matters a great deal. If x1 income, x2 job type, x3 Education level, etc..., then taking cov of these variables would not be desireable and it should have different result from corr. BTW: Factor Anal is very similar. Hope this helps, (and right ;) Hoon, -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
hi Hoon,> As I understand your Q. You probably have data that is similar to each other > like stock Prices for all RHS variable. In that case the difference between corr > and cov is not significant; however, if your RHS contains totally dissimilar > variables it matters a great deal. If x1 income, x2 job type, x3 Education > level, etc..., then taking cov of these variables would not be desireable and it > should have different result from corr. BTW: Factor Anal is very similar. > Hope this helps, (and right ;) >In fact I have variables which have different scales, so in fact what I want to do is to standardise the variables and then use a correlation matrix. Peter -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._