I am trying to run a very large Bradley-Terry model using the BradleyTerry2 package. (There are 288 "players" in the BT model).
My problem is that I ran the model below successfully. WLMat is a win-loss matrix that is 288 by 288 WLdf<-countsToBinomial(WLMat) mod1<-BTm(cbind(win1,win2),player1,player2,~player,id="player",data=WLdf) Then I needed to run the same model with a subset of the observations that went into the win-loss matrix. So I created my new win-loss matrix and tried to run a new model. Now I get: Error: cannot allocate vector of size 90.5 Mb I found this particularly puzzling because the actual input data is the same size as the original model, just different values. I tried increasing memory size, I tried running it in a clean workspace and the error message is always the same (sometimes the vector it is trying to allocate is 181.0MB (twice as large)) but it is always one of those two numbers no matter what I have done to the available memory. To further complicate this...I cannot get the system to re-run my first model either . Same errors. traceback indicates that the error occurs when the program is trying to do a qr decomposition. R 2.13.0 Windows XP Any suggestions? W. Michael Conklin Chief Methodologist Google Voice: (612) 56STATS MarketTools, Inc. | www.markettools.com<http://www.markettools.com> 6465 Wayzata Blvd | Suite 170 | St. Louis Park, MN 55426. PHONE: 952.417.4719 | CELL: 612.201.8978 This email and attachment(s) may contain confidential and/or proprietary information and is intended only for the intended addressee(s) or its authorized agent(s). Any disclosure, printing, copying or use of such information is strictly prohibited. If this email and/or attachment(s) were received in error, please immediately notify the sender and delete all copies [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
