hi I think You Can Use " solve" function to solve the equations.
_______________________________________________________________________ Niloofar.Javanrouh MSc Student Of BioStatistics Mashad University Of Medical Sciences ________________________________ From: Bert Gunter <gunter.ber...@gene.com> To: Diviya Smith <diviya.sm...@gmail.com> Cc: r-help@r-project.org Sent: Monday, March 19, 2012 11:32 PM Subject: Re: [R] Linear regression 1. Homework assignment? We don't do homework here. 2. If not, a mixture model of some sort? I suggest you state the context of the problem more fully. R has several packages to do mixture modeling, if that's what you're trying to do. 3. In any case, this cannot be done with lm() (at least without tricks). 4. In your notation below, the "separate" regressions can be stacked into a single constrained regression model. 5. You might do better to find local statistical help, as you may have bitten off more than you can chew. -- Bert On Mon, Mar 19, 2012 at 11:29 AM, Diviya Smith <diviya.sm...@gmail.com> wrote: > Hello there, > > I am new to using regression in R. I wanted to solve a simple regression > problem where I have 2 equations and 2 unknowns. > > So lets say - > y1 = alpha1*A + beta1*B > y2 = alpha2*A + beta2*B > > y1 <- runif(100000, 0,1) > y2 <- runif(100000,0,1) > > alpha1 <- 0.6 > alpha2 <- 0.75 > > beta1 <- 1-alpha1 > beta2 <- 1-apha2 > > I now want this equation to estimate the values of A and B. Both A and B > are constrained to be between (0,1). I would like to use lm with these > constraints and I am having a little trouble in defining the equations > correctly. Any help would be most appreciated. > > Thank you, > Diviya > > [[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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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. [[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.
