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        tools are used to analyse the data produced by the Crosssover Experiment I
        designed to test Choice Architecture techniques as UI interventions in a SEEk4Science
        data catalogue. It contains:\n\n- Data structures for the experimental data.<br>\n-
        Visualisation functions<br>\n- Analysis functions\n\n## Installation\n\n-
        R<br>\n- python<br>\n- ipython 4\n\nClone and use.\n\n## Usage\n\n<br>\n```python<br>\nsource(''parallel_plot.r'')<br>\nwith(z,
        parallelset(trt,response, freq=count, alpha=0.2))<br>\n```\n\n<br>\n## Contributing\n\n1.
        Fork it!<br>\n2. Create your feature branch: `git checkout -b my-new-feature`<br>\n3.
        Commit your changes: `git commit -am ''Add some feature''`<br>\n4. Push to
        the branch: `git push origin my-new-feature`<br>\n5. Submit a pull request
        :D\n\n<br>\n## License\n\nThis work supports my PhD Thesis at University of
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