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...ables? fm<-lm(y~f) where f is a factor takes care of this in the estimation. I'd like to save the result of expanding f into a matrix for later use. Thanks. Charles -- Charles H. Franklin Professor, Political Science University of Wisconsin, Madison franklin at polisci.wisc.edu chfrankl at wisc.edu 608-263-2022 (voice) 608-265-2663 (fax)

...lem. Thanks. Charles /****************************************** ** Charles H. Franklin ** Professor, Political Science ** University of Wisconsin, Madison ** 1050 Bascom Mall ** Madison, WI 53706 ** 608-263-2022 Office ** 608-265-2663 Fax ** mailto:franklin at polisci.wisc.edu (best) ** mailto:chfrankl at facstaff.wisc.edu (alt) ** http://www.polisci.wisc.edu/~franklin ******************************************/

...ng? Thanks! Charles /****************************************** ** Charles H. Franklin ** Professor, Political Science ** University of Wisconsin, Madison ** 1050 Bascom Mall ** Madison, WI 53706 ** 608-263-2022 Office ** 608-265-2663 Fax ** mailto:franklin at polisci.wisc.edu (best) ** mailto:chfrankl at facstaff.wisc.edu (alt) ** http://www.polisci.wisc.edu/~franklin ******************************************/

...of "Sweave" and "comment" in the list and documentation didn't turn up anything about echoing comments in either R or Sweave. Thanks. Charles -- Charles H. Franklin Professor, Political Science University of Wisconsin, Madison 608-263-2022 franklin at polisci.wisc.edu chfrankl at wisc.edu

A newbie question: I'm trying to decide whether to run a maximum likelihood estimation in R or Stata and am wondering if the R mle routine is reasonably robust. I'm fairly certain that, with this data, in Stata I would get a lot of complaints about non-concave functions and unproductive steps attempted, but would eventually have a successful ML estimate. I believe that, with the