I am trying to design a function which calls nls - does estimates for a lot
of different models and then puts the estimates all in a file. My problem
is that if nls fails for whatever reason on one model, the rest of the
models do not get evaluated and the execution is halted (running in batch
mode). My question is what syntax should I use inside the function, which
will trap the error and continue evaluations of the other models?
for example
my.nls <- function(model= something, etc..){
call nls and evaluate the model.
if nls does fails (singular gradient - whatever reason) trap error and
continue.
in the end - tell me which model failed and show me the error and the
estimates for the model parameters for which nls converged
}
I am looking at the documentation for the try() function, but I am unsure
of the exact syntax. Any help is greatly appreciated.
TIA.
Partha.
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !) To: r-help-request at
stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._