.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_create_multisubject_egg.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_create_multisubject_egg.py:


=============================
Create a multisubject egg
=============================

An egg is made up of two primary pieces of data: `pres`, which are the
words/stimuli that were presented to a subject and `rec`, which are the
words/stimuli that were recalled by the subject.




.. code-block:: python


    # Code source: Andrew Heusser
    # License: MIT

    import quail
    import numpy as np

    # presented words
    presented_words = [[['cat', 'bat', 'hat', 'goat'],['zoo', 'animal', 'zebra', 'horse']],[['cat', 'bat', 'hat', 'goat'],['zoo', 'animal', 'zebra', 'horse']]]

    # recalled words
    recalled_words = [[['bat', 'cat', 'goat', 'hat'],['animal', 'horse', 'zoo']],[['bat', 'cat', 'goat'],['animal', 'horse']]]

    # create egg
    egg = quail.Egg(pres=presented_words, rec=recalled_words)

    # analyze and plot
    fegg = egg.analyze('accuracy')

    fegg.plot(plot_style='violin', title='Average Recall Accuracy')

**Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_create_multisubject_egg.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: create_multisubject_egg.py <create_multisubject_egg.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: create_multisubject_egg.ipynb <create_multisubject_egg.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_