Aleksi Lehtonen <lehtonen.aleksi <at> gmail.com> writes: > I am trying to estimate several non-linear models simultaneously. I don't > want to use non-linear mixed model, but non-linear model with same form, but > it should be estimated separately according to variable group (I have lots > of groups that have lots of observations....). I would like to have unique > parameters for each group. > > e.g. something like this > > mod <- nls(y ~ a*x^b, start=c(a=1, b=1), group=group) > > but knowing that group option does not work. If someone has an idea (or has > done it already) how to implement this either using just nls statement or by > building a simple function in R, I would be very grateful for hints....
Why not nlsList from the nlme package. It would look something like this: mod <- nlsList(y ~ a*x^b | group, start=c(a=1, b=1)) you might have to add a data argument, too, depending on where your data is. HTH, Ken ______________________________________________ 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.
