R help - Sep 2006 - time series simulation

Hi everybody
I'm trying to simulate a stochastic process in R. I would like consider n
log normal time series. The first time serie has a growth rate lower than
the second and so on. the initial time of the first serie is lower than the
initial time of the second and so on. In the long run the series have the
same value. Do you have any idea at running such a process?
Other question: How can I reduce the domain of a random variable?
Thanks
March
                                                                  
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First, I'd write down a model for how your stochastic process 
relates to independent, normal observations with mean 0 and standard 
deviation 1.  You want a lognormal series, so I'd start by generating a 
normal series and the compute 'exp' of that.  If you'd like more
help
from this listserve, please provide commented, minimal, self-contained, 
reproducible code, as suggested in the posting guide 
"www.R-project.org/posting-guide.html". 

      Hope this helps. 
      Spencer Graves

march wrote:
> Hi everybody
> I'm trying to simulate a stochastic process in R. I would like consider
n
> log normal time series. The first time serie has a growth rate lower than
> the second and so on. the initial time of the first serie is lower than the
> initial time of the second and so on. In the long run the series have the
> same value. Do you have any idea at running such a process?
> Other question: How can I reduce the domain of a random variable?
> Thanks
> March
>                                                                   
>