Re: [Repast-interest] how to retain data across multiple runs

[Mark R. D. <mdi...@la...>]

Xiaodong,

There are two approaches that I know of:

1.) I think there is a means to write each batch run out to a row of a 
results file. I believe you can setup 
uchicago.src.sim.analysis.DataRecorder to work in batch mode, in which 
case it appends each datasource for a simulation as part of a record (ie 
without newlines).

Nick, Tom or Gulya could probibly provide better details on this subject.

2.) Use repast-jellytag project which I wrote, it will allow you to run 
a batch process, writting out the parameters you want from each 
simulation. It can do stochastic sampling fairly easily, I havn't yet 
configured it to do iterations over a set of values the way you can in 
repast, but I don't think it would take much work to set something like 
that up.

http://repast-jellytag.sourceforge.net

to see an example:

http://cvs.sourceforge.net/viewcvs.py/repast-jellytag/repast-jelly-taglibrary/models/cagn/batch.xml?rev=1.12&view=markup

the important parts are the <model> tags at the beginning and the 
<forEach> tag at the end.

-Mark

Xiaodong Li wrote:
> 
> Hi RePast gurus,
> 
> When I try to do the collection of data, I am not sure how to do the 
> following:
> 
> 1) record data (eg., best-fitness) at each generation for 1000 
> generation, which is a run;
> 2) run the model 30 runs and take the average of the best-fitness value 
> over the 30 runs.
> 
> I can do 1) without any problem, following the "how-to-document" on how 
> to collect data. However, for 2), since every time I run the model it 
> produces data into a single file, so I will end up having 30 files, one 
> for each single run. For this, I have to do the cut-and-paste into the 
> Excel spreadsheet, in order to calculate the average and standard 
> deviation.
> 
> My question is: can I do this from within the Sim.java or whatever, 
> without having to resort to spreadsheet??
> 
> Thanks for your help in advance.
> 
> Cheers,
> 
> - Xiaodong
> 
> 
> 
> 
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-- 
Mark Diggory
Software Developer
Harvard MIT Data Center
http://www.hmdc.harvard.edu