[R] Error handling

[Gabor Grothendieck]

On 5/23/05, Carsten Steinhoff <carsten.steinhoff at gmx.de> wrote:
> Hi,
> 
> I have written an R-Procedure that automatically does a ML-Fit for some
> datasets to a few
> selected distributions. After any optimization the function writes the
> estimated parameters into a variable.
> My problem is now that sometimes the optimization failes and my program
> stops with an error message.
> 
> What I want after a failed optimization is that there is written an error
> msg
> in the variable instead of stopping the program.
> 
> For the ML-Fit I use the "fitdistr" algorithm.
> 

See

?try
?tryCatch

For example, using try:

result <- try(myfun(...whatever...))
if(inherits(result, "try-error")) ...process the error...