{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Plot free recall accuracy\n\nThis example plots free recall accuracy for a single subject.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# Code source: Contextual Dynamics Laboratory\n# License: MIT\n\n#import\nimport quail\n\n#load data\negg = quail.load('example')\n\n#analysis\nfegg = egg.analyze('accuracy', listgroup=['condition1']*4+['condition2']*4)\n\n#plot by list\nfegg.plot(plot_style='violin', title='Average Recall Accuracy')"
      ]
    }
  ],
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.2"
    }
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