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- Timestamp:
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Sep 10, 2009, 12:07:24 PM (15 years ago)
- Author:
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Ingmar Baumgart
- Comment:
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--
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v28
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v29
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28 | 28 | }}} |
29 | 29 | |
30 | | * The simulation results get stored in the ''simulations/results'' directory. Use the OMNeT++ scavetool or the Eclipse IDE for postprocessing. |
| 30 | * The simulation results get stored in the ''simulations/results'' directory. Use the supplied python scripts or the Eclipse IDE for postprocessing. |
31 | 31 | |
32 | 32 | == Editing parameters: == |
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54 | 54 | == Use the post-processing scripts to generate plots == |
55 | 55 | * Install python (with matplotlib, numpy and scipy) and gnuplot. On Ubuntu use ''sudo apt-get install python-matplotlib python-scipy gnuplot''. On Windows you can install the [python(x,y) light edition http://www.pythonxy.com/] which contains all needed packages. |
56 | | * View the results using the script simulation/tools/plot.py |
| 56 | * View the results with 95% confidence intervals by using the script {{{simulation/tools/plot.py}}}: |
57 | 57 | {{{ |
58 | 58 | tools/plot.py -c0.95 lifetime "KBRTestApp: One-way Delivery Ratio.mean" results/ChordChurn-*.sca |
59 | 59 | }}} |
60 | | * To generate gnuplot output append {{{-o chord_churn}}} to the script parameters. This will generate a {{{chord_churn.plot}}} and a {{{chord_churn.dat}}}, which can be used as input to gnuplot. |
| 60 | * To generate gnuplot output append {{{-o chord_churn}}} to the script parameters. This will generate {{{chord_churn.plot}}} and {{{chord_churn.dat}}} files, which can be used as input to gnuplot. |
| 61 | {{{ |
| 62 | gnuplot chord_churn.plot |
| 63 | }}} |
61 | 64 | |
62 | 65 | == Tips for using the Eclipse IDE == |