no, I am doing a regression with 6 group data with 2 shared parameters and 1 different parameter for each group data. the parameter I want to coerce is for one group. I don't know how to do it. Any suggestion?
Thanks! On 19 September 2015 at 13:33, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > Why not rewrite the function so that value is not a parameter? > --------------------------------------------------------------------------- > Jeff Newmiller The ..... ..... Go Live... > DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... > Live: OO#.. Dead: OO#.. Playing > Research Engineer (Solar/Batteries O.O#. #.O#. with > /Software/Embedded Controllers) .OO#. .OO#. rocks...1k > --------------------------------------------------------------------------- > Sent from my phone. Please excuse my brevity. > > On September 18, 2015 9:54:54 PM PDT, Jianling Fan <fanjianl...@gmail.com> > wrote: >>Hello, everyone, >> >>I am using a nls regression with 6 groups data. I am trying to coerce >>a parameter to 1 by using a upper and lower statement. but I always >>get an error like below: >> >>Error in ifelse(internalPars < upper, 1, -1) : >> (list) object cannot be coerced to type 'double' >> >>does anyone know how to fix it? >> >>thanks in advance! >> >>My code is below: >> >> >> >>> dproot >> depth den ref >>1 20 0.5730000 1 >>2 40 0.7800000 1 >>3 60 0.9470000 1 >>4 80 0.9900000 1 >>5 100 1.0000000 1 >>6 10 0.6000000 2 >>7 20 0.8200000 2 >>8 30 0.9300000 2 >>9 40 1.0000000 2 >>10 20 0.4800000 3 >>11 40 0.7340000 3 >>12 60 0.9610000 3 >>13 80 0.9980000 3 >>14 100 1.0000000 3 >>15 20 3.2083491 4 >>16 40 4.9683383 4 >>17 60 6.2381133 4 >>18 80 6.5322348 4 >>19 100 6.5780660 4 >>20 120 6.6032064 4 >>21 20 0.6140000 5 >>22 40 0.8270000 5 >>23 60 0.9500000 5 >>24 80 0.9950000 5 >>25 100 1.0000000 5 >>26 20 0.4345774 6 >>27 40 0.6654726 6 >>28 60 0.8480684 6 >>29 80 0.9268951 6 >>30 100 0.9723207 6 >>31 120 0.9939966 6 >>32 140 0.9992400 6 >> >>> fitdp<-nls(den~Rm[ref]/(1+(depth/d50)^c),data=dproot, >>+ start = list(Rm=c(1.01, 1.01, 1.01, 6.65,1.01,1), d50=20, c=-1)) >>> summary(fitdp) >> >>Formula: den ~ Rm[ref]/(1 + (depth/d50)^c) >> >>Parameters: >> Estimate Std. Error t value Pr(>|t|) >>Rm1 1.12560 0.07156 15.73 3.84e-14 *** >>Rm2 1.57643 0.11722 13.45 1.14e-12 *** >>Rm3 1.10697 0.07130 15.53 5.11e-14 *** >>Rm4 7.23925 0.20788 34.83 < 2e-16 *** >>Rm5 1.14516 0.07184 15.94 2.87e-14 *** >>Rm6 1.03658 0.05664 18.30 1.33e-15 *** >>d50 22.69426 1.03855 21.85 < 2e-16 *** >>c -1.59796 0.15589 -10.25 3.02e-10 *** >>--- >>Signif. codes: 0 ?**?0.001 ?*?0.01 ??0.05 ??0.1 ??1 >> >>Residual standard error: 0.1094 on 24 degrees of freedom >> >>Number of iterations to convergence: 8 >>Achieved convergence tolerance: 9.374e-06 >> >>> fitdp1<-nls(den~Rm[ref]/(1+(depth/d50)^c),data=dproot, >>algorithm="port", >>+ start = list(Rm=c(1.01, 1.01, 1.01, 6.65, 1.01, 1), d50=20, c=-1), >>+ lower = list(Rm=c(1.01, 1.01, 1.01, 6.65, 1.01, 1), d50=20, c=-1), >>+ upper = list(Rm=c(2.1, 2.2, 2.12, 12.5, 2.3, 1), d50=50, c=1)) >> >>Error in ifelse(internalPars < upper, 1, -1) : >> (list) object cannot be coerced to type 'double' >> >>______________________________________________ >>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>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. > -- Jianling Fan 樊建凌 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.