Dears useRs, I am using the mle function but this gives me the follow erros that I don't understand. Perhaps there is someone that can help me.
thank you for you atention. Bernardo. > erizo <- read.csv("Datos_Stokes_1.csv", header = TRUE) > head(erizo) EDAD TALLA 1 0 7.7 2 1 14.5 3 1 16.9 4 1 13.2 5 1 24.4 6 1 22.5 > TAN <- function(edad,f,c,a,d) (1/sqrt(f))*log(abs(2*f*(edad-c)+ > 2*sqrt((f^2)*((edad-c)^2)+f*a)))+d > loglike = function(f,c,a,d) { + edad <- erizo$EDAD + LT <- erizo$TALLA + N <- length(edad) + sigma <- sum((LT - TAN(edad,f,c,a,d))^2) / N + logl <- (N/2)*log(sigma) + (sum((LT - TAN(edad,f,c,a,d))^2) / (2*sigma)) + } > ini.pars <- list(f=5.91e-05,c=-0.41732,a=0.009661,d=846.7179) > library(stats4) > erizo.mle <- mle(start= ini.pars, minuslogl = loglike, method="Nelder-Mead", > control = list(maxit=1500, trace=TRUE)) Nelder-Mead direct search function minimizer function value for initial parameters = 1159.477620 Scaled convergence tolerance is 1.72776e-05 Stepsize computed as 84.671790 BUILD 5 3165.307359 1159.477620 . . . HI-REDUCTION 303 1158.377359 1158.377314 LO-REDUCTION 305 1158.377339 1158.377303 LO-REDUCTION 307 1158.377321 1158.377303 Exiting from Nelder Mead minimizer 309 function evaluations used Error en optim(start, f, method = method, hessian = TRUE, ...) : non-finite finite-difference value [1] Además: Hubo 50 o más avisos (use warnings() para ver los primeros 50) ______________________________________________ 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.