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Re: Robustness Check
From: |
Benedikt Stefansson |
Subject: |
Re: Robustness Check |
Date: |
Thu, 08 Jul 1999 20:34:14 +0200 |
Alessandra Cassar wrote:
> I need to find an efficient way to check that my results (for a
> computational model using Swarm) are robust.
<snip>
> There must be an easier way to do it. Is there anyone that has already
> done this kind of robustness check?
I second Jan's suggestion that you don't create the random seeds in a
file, use an 'ExperimentSwarm','ModelSwarm' approach a la
swarm-bug-tutorial with a single random seed in the random number
generator in the 'ExperimentSwarm' which feeds seeds to the
'ModelSwarm'. (I can send you a beta version of an 'ExperimentSwarm'
class that reads 'sweep control' files and controls the execution of
ModelSwarms, somewhat more sophisticated than the approach in the
tutorial.)
The bottom line is that you will need to use a seperate tool to analyze
the data. Excel would be my last choice. Marcus suggested Awk, which
works. I heartily recommend learning Perl for this kind of stuff. I have
no experience with HDF5 and R yet, unfortunately the HDF5 features in
Swarm are obscure (to me) in the absence of documentation. (I know, I
know, RTF-HDF5-M...)
Sometimes it is just easiest to go the hardcode way, i.e. in this case
decide which bits you want to store from each run (averages, totals
etc.) - after all you can always recreate each run from the random
seeds.
However when you don't want to hardcode the data manipulation into the
Swarm program my approach is:
(1) Control the multiple executions either from ExperimentSwarm or an
external script (e.g. bash,awk,perl).
(2) Save the datafiles for each execution in a seperate subdirectory,
using the filesystem as a 'poor mans database' (e.g. directorynames such
as 070899-a0.1-b0.2/,070899-a0.1-b0.3/ etc.) Thus you can browse easily
through the data, and store all the pertinent files, model.setup,data as
etc. as sanity checks.
(3) Hack a general purpose Perl script that 'slurps' up data from such
directory structures. Since you are likely to want different datafilters
for each experiment, these filters can be stored as seperate perlscripts
(e.g. datafilter.pl) and then the script the filter to each subdirectory
using Perls eval() function, i.e. eval(datafilter.pl) executes the
commands in datafilter in current directory.
Regards,
Benedikt
PS. For steps (1)-(3) I have very poorly documented Perl solutions which
I can send to interested parties...
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- Re: Robustness Check, (continued)
- Re: Robustness Check, Theodore C. Belding, 1999/07/09
- Re: Robustness Check, Theodore C. Belding, 1999/07/09
- Re: Robustness Check, Sven N. Thommesen, 1999/07/09
- Re: Robustness Check, Theodore C. Belding, 1999/07/09
- RE: Robustness Check (Bratley book), Randy Picker, 1999/07/09
- (Bratley book), Ginger Booth, 1999/07/09
- RE: Robustness Check (Bratley book), Theodore C. Belding, 1999/07/09
- WARNING on Numerical Recipes in C, donalson, 1999/07/09
- Re: WARNING on Numerical Recipes in C, Theodore C. Belding, 1999/07/10
- Re: WARNING on Numerical Recipes in C -- and RNG's in general, Rick Riolo, 1999/07/12
- Re: Robustness Check,
Benedikt Stefansson <=
- Re: Robustness Check, Rick Riolo, 1999/07/08
- Re: Robustness Check, Paul Johnson, 1999/07/08
- Re: Robustness Check, Marcus G. Daniels, 1999/07/09
- Re: Robustness Check, Marcus G. Daniels, 1999/07/08
- Re: Robustness Check and "A growing body of ad-hoc analysis solutions", Benedikt Stefansson, 1999/07/09
- Re: Robustness Check and "A growing body of ad-hoc analysis solutions", Paul E. Johnson, 1999/07/09
- RE: Robustness Check and "A growing body of ad-hoc analysis solutions", Randy Picker, 1999/07/09
- Re: Robustness Check and "A growing body of ad-hoc analysis solutions", Marcus G. Daniels, 1999/07/09
- Re: Robustness Check and "A growing body of ad-hoc analysis solutions", Rick Riolo, 1999/07/09
- Re: Robustness Check and "A growing body of ad-hoc analysis solutions", Marcus G. Daniels, 1999/07/09