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On Tue, Jun 24, 2008 at 1:59 PM, Sit Yee Kong <[EMAIL PROTECTED]> wrote:
>
> Hi All,
>
> The for-loop below stopped when error("Cannot get confidence intervals on
> var-cov components: Non-positive definite approximate variance-covariance")
> occurred.
> I assigned a row of NA values
> to the data frame "m1" manually and reset "j" in the for-loop every time
> error returned. I'm wondering if
> there is a function that can detect error or failure, so the for-loop WILL
> NOT stop and the NA values can be assigned automatically if specified
> condition met. This can solve my problem that I need to set the NA values
> manually and reset j in for-loop every time error returned. Doing this
> manually would be very tedious.
> m1<-matrix(ncol=3,nrow=0)
> for (j in 1:1000){
>
> fit<-lme(Expression~1,random=~1|MonkeyID,
> data=mydata1,subset=Probes==as.character(Probes_Blood_sub[j,"probe"]))
> ci<-intervals(fit)$reStruct$MonkeyID^2
> m1<-rbind(m1,ci)}
> Thanks,Sityee
>
> _________________________________________________________________
> The i'm Talkathon starts 6/24/08. For now, give amongst yourselves.
>
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>
>
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>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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