R help - Feb 2014 - Ignore errors and proceed to next

Hi all,
I have a very large number of vectors that I want first to look fast which
distribution might be considered candidate for fitting.
I made a simple loop that checks for all vector (the code below is for one
vector and being called for each vector separately). If a good fit is found this
is dumped to a txt file so to allow me later on, see results

distList<-c("norm","exp","gamma","lnorm")
    for (dist in distList) {
    
        if (gofstat(fitdist(onVector,distr=dist))$kstest =="not
rejected"){
        # keep it
          out<-capture.output(gofstat(fitdist(onVector,distr=distr))$ks)
          print(sprintf("Saving to file %s ",filename))
         
cat(out,file=paste(filename,".txt",sep=""),sep="\n",append=TRUE)
          
        }
    }
the major problem is that these for loops return errors (sometimes for a given
vector a specific distribution does not make sense or the vector might be zero
or containing only many times the same element)    . The easiest would be in
errors and warning just move to the next element of the for loop.
Something like that

for ()
{
 if error==skip to next element
 else do normal stuff
}
how I can do that in R?
Regards
Alex
	[[alternative HTML version deleted]]

Hi

See

?try
?tryCatch

So you still want to do these distribution tests even though you have been
warned not to?

Yours sincerely / Med venlig hilsen


Frede Aakmann T?gersen
Specialist, M.Sc., Ph.D.
Plant Performance & Modeling

Technology & Service Solutions
T +45 9730 5135
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> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at
r-project.org]
> On Behalf Of Alaios
> Sent: 14. februar 2014 10:14
> To: R-help at r-project.org
> Subject: [R] Ignore errors and proceed to next
> 
> Hi all,
> I have a very large number of vectors that I want first to look fast which
> distribution might be considered candidate for fitting.
> I made a simple loop that checks for all vector (the code below is for one
> vector and being called for each vector separately). If a good fit is found
this
> is dumped to a txt file so to allow me later on, see results
> 
>
distList<-c("norm","exp","gamma","lnorm")
> ??? for (dist in distList) {
> 
> ??? ??? if (gofstat(fitdist(onVector,distr=dist))$kstest =="not
rejected"){
> ??? ??? # keep it
> ??? ????? out<-capture.output(gofstat(fitdist(onVector,distr=distr))$ks)
> ??? ????? print(sprintf("Saving to file %s ",filename))
> ??? ?????
cat(out,file=paste(filename,".txt",sep=""),sep="\n",append=TRUE)
> 
> ??? ??? }
> ??? }
> the major problem is that these for loops return errors (sometimes for a
> given vector a specific distribution does not make sense or the vector
might
> be zero or containing only many times the same element)??? . The easiest
> would be in errors and warning just move to the next element of the for
> loop.
> Something like that
> 
> for ()
> {
> ?if error==skip to next element
> ?else do normal stuff
> }
> how I can do that in R?
> Regards
> Alex
> 	[[alternative HTML version deleted]]