R help - Jan 2009 - Error in Surv(time, status) : Time variable is not numeric

Dear,

I want to analyze two-level survival data using a shared frailty model, for
which I want to use the R package 'Frailtypack", proposed by Rondeau et
al.
The dataset was built using SAS software. I also tried to change the format
using SPSS and Excell. 

My (reduced) dataset has following column names:
ID     entry    time    status    family     var1

I used following command:
> frailtyPenal(Surv(time, status) ~var1 + cluster(family), Frailty=TRUE
> ,n.knots=8, kappa1=1500,
+ cross.validation=FALSE)

And got this error :
Error in Surv(time, status) : Time variable is not numeric
In addition: Warning message:
In is.na(time) : is.na() applied to non-(list or vector) of type
'closure'

I think R transforms the data when importing into R, so that the
observations are not numeric anymore.

Does anyone know how to handle this problem?

Thanks,

Marie
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R is finding the R function 'time' rather than your variable time in
your
dataset.  Perhaps adding 'data=mydata' to your function call will
resolve
your issue.

Chris


Braem M wrote:
> 
> Dear,
> 
> I want to analyze two-level survival data using a shared frailty model,
> for which I want to use the R package 'Frailtypack", proposed by
Rondeau
> et al. The dataset was built using SAS software. I also tried to change
> the format using SPSS and Excell. 
> 
> My (reduced) dataset has following column names:
> ID     entry    time    status    family     var1
> 
> I used following command:
>> frailtyPenal(Surv(time, status) ~var1 + cluster(family), Frailty=TRUE
>> ,n.knots=8, kappa1=1500,
> + cross.validation=FALSE)
> 
> And got this error :
> Error in Surv(time, status) : Time variable is not numeric
> In addition: Warning message:
> In is.na(time) : is.na() applied to non-(list or vector) of type
'closure'
> 
> I think R transforms the data when importing into R, so that the
> observations are not numeric anymore.
> 
> Does anyone know how to handle this problem?
> 
> Thanks,
> 
> Marie
> 
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