It would help if you told us what type of error you are getting and to also
provide sample data so that we could run it to see what happens. I use
'try' a lot to catch errors and have not had any problems with it.
On Mon, Mar 18, 2013 at 6:11 AM, lisa <wang.li...@gmail.com> wrote:
> Hi All,
>
> I have tried every fix on my try or tryCatch that I have found on the
> internet, but so far have not been able to get my R code to continue with
> the "for loop" after the lmer model results in an error.
>
> Here is two attemps of my code, the input is a 3D array file, but really
> any function would do....
>
> metatrialstry<-function(mydata){
>
> a<-matrix(data=NA, nrow=dim(mydata)[3], ncol=5)
> #colnames(a)=c("sens", "spec", "corr", "sens_se", "spec_se",
> "counter")#colnames(a)=c("sens", "spec", "corr", "sens_se", "spec_se")
> k=1
> for(ii in 1:dim(mydata)[3]){
> tmp<-mydata[,,ii]
> tmp1<-as.data.frame(tmp)
> names(tmp1)=c("persons", "d1", "tp", "fn", "fp", "fn", "detect", "d0",
> "outcome")
> lm1<-try(lmer(outcome~0+d1+d0+(0+d1+d0 | persons), family=binomial,
> data=tmp1, nAGQ=3), silent=T)
> if(class(lm1)[1]!='try-error'){
> a[ii,1]=lm1@fixef[1]
> a[ii,2]=lm1@fixef[2]
> a[ii,3]=vcov(lm1)[1,2]/prod(sqrt(diag(vcov(lm1))))
> a[ii,4:5]=sqrt(diag(vcov(lm1)))
> }
> }
> #k=k+1
> #a[ii,6]=k
>
> return(a)
> }
>
> #########################################
> ######### try / try catch ###############
> #########################################
>
>
>
> metatrialstry<-function(mydata){
>
> a<-matrix(data=NA, nrow=dim(mydata)[3], ncol=5)
> #colnames(a)=c("sens", "spec", "corr", "sens_se", "spec_se", "counter")
> colnames(a)=c("sens", "spec", "corr", "sens_se", "spec_se")
> #a[,6]=rep(0, length(a[,6]))
> for(ii in 1:dim(mydata)[3]){
> tmp<-mydata[,,ii]
> tmp1<-as.data.frame(tmp)
> names(tmp1)=c("persons", "d1", "tp", "fn", "fp", "fn", "detect", "d0",
> "outcome")
> lm1<-tryCatch(lmer(outcome~0+d1+d0+(0+d1+d0 | persons),
> family=binomial, data=tmp1, nAGQ=3), error=function(e) e)
> a[ii,1]=lm1@fixef[1]
> a[ii,2]=lm1@fixef[2]
> a[ii,3]=vcov(lm1)[1,2]/prod(sqrt(diag(vcov(lm1))))
> a[ii,4:5]=sqrt(diag(vcov(lm1)))
> }
> return(a)
> }
>
>
> Any guidance would be greatly appreciated...
>
> thanks!
> Lisa
>
> --
> Lisa Wang
> email: wang.li...@gmail.com
> cell: +49 -0176-87786557
> Tübingen, Germany, 72070
>
> [[alternative HTML version deleted]]
>
>
> ______________________________________________
> 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.
>
>
--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
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