Hi all I´m trying to get confidence intervals for parameters from nls modeling. I fitted a nls model to the following variables:
> 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 The model fitted was: model<-nls(y~SSgompertz(x,a,b,c)) and it worked OK, with the following results: 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 *** Then, trying to get confidence intervals for the parameters using the nlsBoot function in the nlstools package I got this error: > modelboot<-nlsBoot(model) Error en data2[, var1] <- fitted1 + sample(scale(resid1, scale = FALSE), : objeto de tipo 'environment' no es subconjunto I´ve tried with another response variable and other self starting function (SSlogis) and got the same error. 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.
