Hi all I´ve got a problem using boxcox.nls function in nlrwr packagge. I´m fitting several non linear models to these data:
> x [1] 2 1 1 5 4 6 13 11 13 101 101 101 > y [1] 1.281055090 1.563609934 0.001570796 2.291579783 0.841891853 [6] 6.553951324 14.243274230 14.519899320 15.066473610 21.728809880 [11] 18.553054450 23.722637370 I used nls function with self starters, for example SSgompertz: model<-nls(y~SSgompertz(x,a,b)) The model runs OK, with the following summary: Formula: y ~ SSgompertz(x, a, b, c) Parameters: Estimate Std. Error t value Pr(>|t|) a 21.2426 0.9689 21.924 4.03e-09 *** b 5.3330 1.4722 3.622 0.00555 ** c 0.8045 0.0274 29.364 3.01e-10 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.686 on 9 degrees of freedom Number of iterations to convergence: 5 Achieved convergence tolerance: 1.508e-06 But then, trying to use boxcox.nls(model) gives the following error: > boxcox.nls(model) Error in eval(object$data)[, as.character(formula(object)[[2]])[2]] : object type 'environment' is not a subset (this last part traduced from spanish) I´ve tryed other functions, even without self starters but it does not work. Then it seems to be there something in the data, but I don´t know what. Any suggestions? Francisco ---------------------- Francisco Mora Ardila Estudiante de Doctorado Centro de Investigaciones en Ecosistemas Universidad Nacional Autónoma de México ______________________________________________ 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.
