Re: Robustness Check

[Jan Kreft]

Hi,

Regarding #1 and #2, it would be better to start the program only once
with one seed and do all 100 runs in a sequence. This way, you avoid the
possibility of overlap of the sequence of numbers you draw from the random
number generator. Also, you have only one file with all results that you
can analyse in one go.

Regarding #3, manual is best because you have to look at your data first
before you can decide which statistical analysis is appropriate. 
Hardcoding something into your program is not very flexible and you might
find your analysis was ill-headed and you have to rerun the program rather
than just the analysis. Do the analysis in a separate, independent program
(Excel, R, awk, etc. or something of your own writing). Explore and
visualize your data first. 

HTH, Jan.

On Thu, 8 Jul 1999, Alessandra Cassar wrote:

> Hi all,
> I need to find an efficient way to check that my results (for a 
> computational model using Swarm) are robust.
> I have an idea, but seems really inefficient:
> 1 Create a file with 100 random seeds to feed the random number generator
> 2 Run Swarm creating these 100 datasets (with 12 series of 400 timesteps) 
> 3 MANUALLY work them in excell and create AVERAGES AND STANDARD DEVIATIONS
> 
> There must be an easier way to do it. Is there anyone that has already 
> done this kind of robustness check?
> 
> Thank you very much
> Alessandra
> 
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