Starting an EDA on the mult_wave part of the citizen_shield project and looking into a bunch of networks linking the determinants with the least amount of missing data
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James Twose
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# -- Project information -----------------------------------------------------
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project = 'Matti Jms Collabs'
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copyright = '2022, James Twose, Matti Heino'
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author = 'James Twose, Matti Heino'
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.. Matti Jms Collabs documentation master file, created by
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sphinx-quickstart on Tue Jun 28 20:18:11 2022.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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Welcome to Matti Jms Collabs's documentation!
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=============================================
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.. toctree::
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:maxdepth: 2
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:caption: Contents:
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Citizen Shield
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----------------------------
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.. nbgallery::
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:caption: Example Notebooks
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:name: notebook-gallery
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:glob:
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citizen_shield_demographics_classification.ipynb
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citizen_shield_demographics_clustering.ipynb
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.. raw:: html
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<div id="content">
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<li><a href="../../../citizen_shield/citizen_shield_networks.nb.html">Citizen Shield Network Approach in R</a></li>
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</div>
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References
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^^^^^^^^^^^
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.. raw:: html
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<div id="content">
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<li>Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., ... & Waldorp, L. J. (2021).
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Network analysis of multivariate data in psychological science.
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<i>Nature Reviews Methods Primers, 1</i> (1), 1-18.
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<a href="https://www.nature.com/articles/s43586-021-00055-w.pdf"> Article Link</a></li>
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</div>
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Indices and tables
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==================
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* :ref:`genindex`
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* :ref:`modindex`
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* :ref:`search`
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