Hello all I have a feeling this is very simple......but I am not sure how to do it
My boss has two variables, one is an average of 4 numbers, the other is an average of 3 of those numbers i.e var1 = (X1 + X2 + X3 + X4)/4 var2 = (X1 + X2 + X3)/3 all of the X variables are supposed to be measuring similar constructs not surprisingly, these are highly correlated (r = .98), the question is how much of this correlation is due to the fact that the X's are related, and how much to the fact that the two VARs are similarly constructed What I want to do is simulate this with normally distributed data for the X's. That is, generate (say) 1000 sets of X1 through X4, use those to caluculate 1000 var1 and var2, and then 1000 correlations between var1 and var2, and then plot those results. Any help appreciated Peter Flom Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax) ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help