Re: [R] Nonlinear Regression Parameter Shared Across Multiple Data Sets

2010-10-15 Thread Jared Blashka
Looking at the source for nlrob, it looks like it saves the coefficients from the results of running an nls and then passes those coefficients back into the next nls request. The issue that it's running into is that nls returns the coefficients as upper, LOGEC501, LOGEC502, and LOGEC503, rather tha

Re: [R] Nonlinear Regression Parameter Shared Across Multiple Data Sets

2010-10-13 Thread Jared Blashka
As an addendum to my question, I'm attempting to apply the solution to the robust non-linear regression function nlrob from the robustbase package, and it doesn't work in that situation. I'm getting allRobustFit <- nlrob(Y ~ (upper)/(1+10^(X-LOGEC50[dset])), data=all ,start=list(upper=max(all$Y),L

Re: [R] Nonlinear Regression Parameter Shared Across Multiple Data Sets

2010-10-12 Thread Keith Jewell
"Jared Blashka" wrote in message news:aanlktinffmudugqnkudvr=fmf0wrrtsbjxjexuki_...@mail.gmail.com... > I'm working with 3 different data sets and applying this non-linear > regression formula to each of them. > > nls(Y ~ (upper)/(1+10^(X-LOGEC50)), data=std_no_outliers, > start=list(upper=max(s