code/paper-notebooks/A-figures.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "337221df",
   "metadata": {},
   "source": [
    "# Figures\n",
    "\n",
    "This notebook provides the code needed to generate the figures used in the paper.\n",
    "It is noted that some graphs might be generated inside the corresponding notebook of the experiment and thus those graphs are not created here.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5341c6d",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "\n",
    "- Checking requirements\n",
    "  - Correct anaconda environment\n",
    "  - Correct module access\n",
    "  - Correct file access\n",
    "  - Checking TensorFlow GPU support\n",
    "- Funding for neural interface ventures\n",
    "- Papers on BCIs\n",
    "- Longer window subject wise mean accuracy\n",
    "- Prediction times\n",
    "- Significance test"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "292165d3",
   "metadata": {},
   "source": [
    "<hr><hr>\n",
    "\n",
    "## Checking requirements"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f55ad17",
   "metadata": {},
   "source": [
    "### Correct anaconda environment\n",
    "\n",
    "The `bci-master-thesis` anaconda environment should be active to ensure proper support. Installation instructions are available on [the GitHub repository of the BCI master thesis project](https://www.github.com/pikawika/bci-master-thesis)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "334d5fd4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Active environment: bci-master-thesis\n",
      "Correct environment: True\n",
      "\n",
      "Python version: 3.8.10\n",
      "Correct Python version: True\n",
      "Active environment: bci-master-thesis\n",
      "Correct environment: True\n",
      "\n",
      "Python version: 3.8.10\n",
      "Correct Python version: True\n"
     ]
    }
   ],
   "source": [
    "####################################################\n",
    "# CHECKING FOR RIGHT ANACONDA ENVIRONMENT\n",
    "####################################################\n",
    "\n",
    "import os\n",
    "from platform import python_version\n",
    "from pathlib import Path\n",
    "from copy import copy\n",
    "\n",
    "print(f\"Active environment: {os.environ['CONDA_DEFAULT_ENV']}\")\n",
    "print(f\"Correct environment: {os.environ['CONDA_DEFAULT_ENV'] == 'bci-master-thesis'}\")\n",
    "print(f\"\\nPython version: {python_version()}\")\n",
    "print(f\"Correct Python version: {python_version() == '3.8.10'}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22166668",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "### Correct module access\n",
    "\n",
    "The following codeblock will load in all required modules and show if the versions match those that are recommended."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ab632204",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Matplotlib version (3.5.1 recommended): 3.5.1\n",
      "Matplotlib version (3.5.1 recommended): 3.5.1\n"
     ]
    }
   ],
   "source": [
    "####################################################\n",
    "# LOADING MODULES\n",
    "####################################################\n",
    "\n",
    "# allow reloading of libraries\n",
    "import importlib\n",
    "\n",
    "# Load utils with reloading allowed\n",
    "import sys\n",
    "sys.path.append('../utils')\n",
    "import CLA_dataset\n",
    "import TF_tools\n",
    "importlib.reload(CLA_dataset)\n",
    "importlib.reload(TF_tools)\n",
    "\n",
    "# More data types\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy.stats import t\n",
    "from math import sqrt\n",
    "from statistics import stdev\n",
    "\n",
    "# Plotting\n",
    "import matplotlib; print(f\"Matplotlib version (3.5.1 recommended): {matplotlib.__version__}\")\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "813bb5de",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "### Correct file access\n",
    "\n",
    "As mentioned, this notebook might make use of a database provided by [Kaya et al](https://doi.org/10.1038/sdata.2018.211). The CLA dataset in particular. Instructions on where to get the data are available on [the GitHub repository of the BCI master thesis project](https://www.github.com/pikawika/bci-master-thesis). These instructions are under `bci-master-thesis/code/data/CLA/README.md`. FIF files from this same dataset are also made available in [the GitHub repository of the BCI master thesis project](https://www.github.com/pikawika/bci-master-thesis). A check on the availability of these two datasets is performed below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "caa1d182",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Full Matlab CLA file access: True\n",
      "Full MNE CLA file access: True\n",
      "Full Matlab CLA file access: True\n",
      "Full MNE CLA file access: True\n"
     ]
    }
   ],
   "source": [
    "####################################################\n",
    "# CHECKING FILE ACCESS\n",
    "####################################################\n",
    "\n",
    "# Use util to determine if we have access\n",
    "print(\"Full Matlab CLA file access: \" + str(CLA_dataset.check_matlab_files_availability()))\n",
    "print(\"Full MNE CLA file access: \" + str(CLA_dataset.check_mne_files_availability()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43a71dde",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "### Checking TensorFlow GPU support\n",
    "\n",
    "If you want to use TensorFlow with GPU acceleration, the below codeblock can help you gather insight."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8d8d50f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1 CPUs available under the names:\n",
      "[PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU')]\n",
      "\n",
      "\n",
      "There are 1 GPUs available under the names:\n",
      "[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]\n",
      "There are 1 CPUs available under the names:\n",
      "[PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU')]\n",
      "\n",
      "\n",
      "There are 1 GPUs available under the names:\n",
      "[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]\n"
     ]
    }
   ],
   "source": [
    "TF_tools.check_tf_cpu_gpu_presence()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1629ba2",
   "metadata": {},
   "source": [
    "<hr><hr>\n",
    "\n",
    "## Funding for neural interface ventures\n",
    "\n",
    "Graphs related to data on funding for neural interface ventures by [Rao (2020)](https://www.from-the-interface.com/BCI-venture-funding/).\n",
    "Please provide the data obtainable by clicking \"Get the data\" [under the figure on this webpage](https://www.from-the-interface.com/BCI-venture-funding/) in the folder `../data/figures/funding_data.csv`.\n",
    "\n",
    "### Creating the graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fb820ee5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Company</th>\n",
       "      <th>Location</th>\n",
       "      <th>Year_founded</th>\n",
       "      <th>Application</th>\n",
       "      <th>Funding to date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Neuralink</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/07/16</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kernel</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/16</td>\n",
       "      <td>Research Device</td>\n",
       "      <td>107.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dreem</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/07/14</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GTX-Medical</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/13</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>41.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Clinatec</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>39.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Muse</td>\n",
       "      <td>Canada</td>\n",
       "      <td>01/01/15</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>28.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Paradromics</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/15</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>25.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Halo-Neuroscience</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/13</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>24.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Meltin-MMI</td>\n",
       "      <td>Japan</td>\n",
       "      <td>19/07/13</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Clinatec</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>20.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Thync</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Synchron</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/16</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Neurable</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/16</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BrainQ</td>\n",
       "      <td>Israel</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>8.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CTRL-Labs*</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/15</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>BrainCo</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/15</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bios</td>\n",
       "      <td>Europe</td>\n",
       "      <td>05/05/15</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Nextmind</td>\n",
       "      <td>Canada</td>\n",
       "      <td>15/09/17</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Nia Therapeutics</td>\n",
       "      <td>Other US</td>\n",
       "      <td>12/10/16</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SensArs</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/06/14</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Flow-Neuroscience</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/16</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Emotiv</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Axorus</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Iota Biosciences</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/17</td>\n",
       "      <td>Research Device</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Company                Location Year_founded      Application  \\\n",
       "0           Neuralink  San Francisco Bay Area     01/07/16   Medical Device   \n",
       "1              Kernel                Other US     01/01/16  Research Device   \n",
       "2               Dreem                  Europe     01/07/14  Consumer Device   \n",
       "3         GTX-Medical                  Europe     01/01/13   Medical Device   \n",
       "4            Clinatec                  Europe     01/01/11   Medical Device   \n",
       "5                Muse                  Canada     01/01/15  Consumer Device   \n",
       "6         Paradromics                Other US     01/01/15   Medical Device   \n",
       "7   Halo-Neuroscience  San Francisco Bay Area     01/01/13  Consumer Device   \n",
       "8          Meltin-MMI                   Japan     19/07/13  Consumer Device   \n",
       "9            Clinatec                  Europe     01/01/11   Medical Device   \n",
       "10              Thync  San Francisco Bay Area     01/01/11  Consumer Device   \n",
       "11           Synchron  San Francisco Bay Area     01/01/16   Medical Device   \n",
       "12           Neurable                Other US     01/01/16  Consumer Device   \n",
       "13             BrainQ                  Israel     01/01/11   Medical Device   \n",
       "14         CTRL-Labs*                Other US     01/01/15  Consumer Device   \n",
       "15            BrainCo                Other US     01/01/15  Consumer Device   \n",
       "16               Bios                  Europe     05/05/15   Medical Device   \n",
       "17           Nextmind                  Canada     15/09/17  Consumer Device   \n",
       "18   Nia Therapeutics                Other US     12/10/16   Medical Device   \n",
       "19            SensArs                  Europe     01/06/14   Medical Device   \n",
       "20  Flow-Neuroscience                  Europe     01/01/16   Medical Device   \n",
       "21             Emotiv  San Francisco Bay Area     01/01/11  Consumer Device   \n",
       "22             Axorus                  Europe     01/01/19   Medical Device   \n",
       "23   Iota Biosciences  San Francisco Bay Area     01/01/17  Research Device   \n",
       "\n",
       "    Funding to date  \n",
       "0             158.0  \n",
       "1             107.0  \n",
       "2              57.0  \n",
       "3              41.2  \n",
       "4              39.4  \n",
       "5              28.8  \n",
       "6              25.3  \n",
       "7              24.7  \n",
       "8              20.6  \n",
       "9              20.1  \n",
       "10             13.0  \n",
       "11             10.0  \n",
       "12              9.0  \n",
       "13              8.9  \n",
       "14              6.7  \n",
       "15              6.0  \n",
       "16              5.6  \n",
       "17              4.6  \n",
       "18              4.0  \n",
       "19              3.6  \n",
       "20              2.6  \n",
       "21              1.8  \n",
       "22              1.4  \n",
       "23             15.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Company</th>\n",
       "      <th>Location</th>\n",
       "      <th>Year_founded</th>\n",
       "      <th>Application</th>\n",
       "      <th>Funding to date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Neuralink</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/07/16</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kernel</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/16</td>\n",
       "      <td>Research Device</td>\n",
       "      <td>107.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dreem</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/07/14</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GTX-Medical</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/13</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>41.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Clinatec</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>39.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Muse</td>\n",
       "      <td>Canada</td>\n",
       "      <td>01/01/15</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>28.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Paradromics</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/15</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>25.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Halo-Neuroscience</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/13</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>24.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Meltin-MMI</td>\n",
       "      <td>Japan</td>\n",
       "      <td>19/07/13</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Clinatec</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>20.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Thync</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Synchron</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/16</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Neurable</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/16</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BrainQ</td>\n",
       "      <td>Israel</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>8.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CTRL-Labs*</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/15</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>BrainCo</td>\n",
       "      <td>Other US</td>\n",
       "      <td>01/01/15</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bios</td>\n",
       "      <td>Europe</td>\n",
       "      <td>05/05/15</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Nextmind</td>\n",
       "      <td>Canada</td>\n",
       "      <td>15/09/17</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Nia Therapeutics</td>\n",
       "      <td>Other US</td>\n",
       "      <td>12/10/16</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SensArs</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/06/14</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Flow-Neuroscience</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/16</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Emotiv</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/11</td>\n",
       "      <td>Consumer Device</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Axorus</td>\n",
       "      <td>Europe</td>\n",
       "      <td>01/01/19</td>\n",
       "      <td>Medical Device</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Iota Biosciences</td>\n",
       "      <td>San Francisco Bay Area</td>\n",
       "      <td>01/01/17</td>\n",
       "      <td>Research Device</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Company                Location Year_founded      Application  \\\n",
       "0           Neuralink  San Francisco Bay Area     01/07/16   Medical Device   \n",
       "1              Kernel                Other US     01/01/16  Research Device   \n",
       "2               Dreem                  Europe     01/07/14  Consumer Device   \n",
       "3         GTX-Medical                  Europe     01/01/13   Medical Device   \n",
       "4            Clinatec                  Europe     01/01/11   Medical Device   \n",
       "5                Muse                  Canada     01/01/15  Consumer Device   \n",
       "6         Paradromics                Other US     01/01/15   Medical Device   \n",
       "7   Halo-Neuroscience  San Francisco Bay Area     01/01/13  Consumer Device   \n",
       "8          Meltin-MMI                   Japan     19/07/13  Consumer Device   \n",
       "9            Clinatec                  Europe     01/01/11   Medical Device   \n",
       "10              Thync  San Francisco Bay Area     01/01/11  Consumer Device   \n",
       "11           Synchron  San Francisco Bay Area     01/01/16   Medical Device   \n",
       "12           Neurable                Other US     01/01/16  Consumer Device   \n",
       "13             BrainQ                  Israel     01/01/11   Medical Device   \n",
       "14         CTRL-Labs*                Other US     01/01/15  Consumer Device   \n",
       "15            BrainCo                Other US     01/01/15  Consumer Device   \n",
       "16               Bios                  Europe     05/05/15   Medical Device   \n",
       "17           Nextmind                  Canada     15/09/17  Consumer Device   \n",
       "18   Nia Therapeutics                Other US     12/10/16   Medical Device   \n",
       "19            SensArs                  Europe     01/06/14   Medical Device   \n",
       "20  Flow-Neuroscience                  Europe     01/01/16   Medical Device   \n",
       "21             Emotiv  San Francisco Bay Area     01/01/11  Consumer Device   \n",
       "22             Axorus                  Europe     01/01/19   Medical Device   \n",
       "23   Iota Biosciences  San Francisco Bay Area     01/01/17  Research Device   \n",
       "\n",
       "    Funding to date  \n",
       "0             158.0  \n",
       "1             107.0  \n",
       "2              57.0  \n",
       "3              41.2  \n",
       "4              39.4  \n",
       "5              28.8  \n",
       "6              25.3  \n",
       "7              24.7  \n",
       "8              20.6  \n",
       "9              20.1  \n",
       "10             13.0  \n",
       "11             10.0  \n",
       "12              9.0  \n",
       "13              8.9  \n",
       "14              6.7  \n",
       "15              6.0  \n",
       "16              5.6  \n",
       "17              4.6  \n",
       "18              4.0  \n",
       "19              3.6  \n",
       "20              2.6  \n",
       "21              1.8  \n",
       "22              1.4  \n",
       "23             15.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "####################################################\n",
    "# LOADING IN DATA\n",
    "####################################################\n",
    "\n",
    "data_filename = \"../data/figures/funding_data.csv\"\n",
    "\n",
    "if (not os.path.isfile(data_filename)):\n",
    "    print(\"Required data not available\")\n",
    "else:\n",
    "    funding_data = pd.read_csv(data_filename)\n",
    "    display(funding_data)\n",
    "    \n",
    "del data_filename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ba514425",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "####################################################\n",
    "# PLOTTING FUNDING DATA\n",
    "####################################################\n",
    "\n",
    "# reset plots\n",
    "plt.rcdefaults()\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# Order data\n",
    "funding_data = funding_data.sort_values(by=[\"Funding to date\"])\n",
    "\n",
    "# General info\n",
    "companies = funding_data[\"Company\"]\n",
    "y_pos = np.arange(len(companies))\n",
    "\n",
    "# Data for Medical devices\n",
    "funding = funding_data.where(funding_data[\"Application\"] == \"Medical Device\")[\"Funding to date\"]\n",
    "ax.barh(y_pos, funding, align='center', label=\"Medical device\")\n",
    "\n",
    "# Data for Research devices\n",
    "funding = funding_data.where(funding_data[\"Application\"] == \"Research Device\")[\"Funding to date\"]\n",
    "ax.barh(y_pos, funding, align='center', label=\"Research devices\")\n",
    "\n",
    "# Data for Consumer devices\n",
    "funding = funding_data.where(funding_data[\"Application\"] == \"Consumer Device\")[\"Funding to date\"]\n",
    "ax.barh(y_pos, funding, align='center', label=\"Consumer devices\")\n",
    "\n",
    "\n",
    "# Make plot prettier\n",
    "companies = funding_data[\"Company\"]\n",
    "ax.set_yticks(y_pos, labels=companies)\n",
    "ax.invert_yaxis()  # labels read top-to-bottom\n",
    "ax.set_xlabel('Funding in millions (USD)')\n",
    "ax.set_ylabel('Company name')\n",
    "ax.set_title('Funding of new BCI related companies')\n",
    "plt.xlim(right=180)\n",
    "\n",
    "# Show funding value\n",
    "for i, v in enumerate(funding_data[\"Funding to date\"]):\n",
    "    ax.text(v + 3, i + .25, str(v), color='black')\n",
    "\n",
    "# Show the legend\n",
    "plt.legend(title = \"BCI type\")\n",
    "\n",
    "# Save the plot\n",
    "plt.tight_layout()\n",
    "plt.savefig('figures/A-figures/funding.png', dpi=300)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74d4532b",
   "metadata": {},
   "source": [
    "<hr><hr>\n",
    "\n",
    "## Papers on BCIs\n",
    "\n",
    "Graphs related to the amount of papers on BCIs, data by [Saha et al (2021)](https://doi.org/10.3389/fnsys.2021.578875).\n",
    "\n",
    "### Creating the graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "30d09bf7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1979-1993</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1994-1996</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1997-1999</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2000-2002</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2003-2005</td>\n",
       "      <td>306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2006-2008</td>\n",
       "      <td>594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2009-2011</td>\n",
       "      <td>922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2012-2014</td>\n",
       "      <td>1739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015-2017</td>\n",
       "      <td>2053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-2020</td>\n",
       "      <td>2224</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Year  Amount\n",
       "0  1979-1993      30\n",
       "1  1994-1996      44\n",
       "2  1997-1999      61\n",
       "3  2000-2002      95\n",
       "4  2003-2005     306\n",
       "5  2006-2008     594\n",
       "6  2009-2011     922\n",
       "7  2012-2014    1739\n",
       "8  2015-2017    2053\n",
       "9  2018-2020    2224"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1979-1993</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1994-1996</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1997-1999</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2000-2002</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2003-2005</td>\n",
       "      <td>306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2006-2008</td>\n",
       "      <td>594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2009-2011</td>\n",
       "      <td>922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2012-2014</td>\n",
       "      <td>1739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015-2017</td>\n",
       "      <td>2053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-2020</td>\n",
       "      <td>2224</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Year  Amount\n",
       "0  1979-1993      30\n",
       "1  1994-1996      44\n",
       "2  1997-1999      61\n",
       "3  2000-2002      95\n",
       "4  2003-2005     306\n",
       "5  2006-2008     594\n",
       "6  2009-2011     922\n",
       "7  2012-2014    1739\n",
       "8  2015-2017    2053\n",
       "9  2018-2020    2224"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "####################################################\n",
    "# LOADING IN DATA\n",
    "####################################################\n",
    "\n",
    "# initialize list of lists\n",
    "data = [['1979-1993', 30],\n",
    "        ['1994-1996', 44],\n",
    "        ['1997-1999', 61],\n",
    "        ['2000-2002', 95],\n",
    "        ['2003-2005', 306],\n",
    "        ['2006-2008', 594],\n",
    "        ['2009-2011', 922],\n",
    "        ['2012-2014', 1739],\n",
    "        ['2015-2017', 2053],\n",
    "        ['2018-2020', 2224]]\n",
    "  \n",
    "# Create the pandas DataFrame\n",
    "data = pd.DataFrame(data, columns=['Year', 'Amount'])\n",
    "  \n",
    "# print dataframe.\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9e048579",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "####################################################\n",
    "# PLOTTING FUNDING DATA\n",
    "####################################################\n",
    "\n",
    "# reset plots\n",
    "plt.rcdefaults()\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# Order data\n",
    "data = data.sort_values(by=[\"Year\"])\n",
    "\n",
    "# General info\n",
    "years = data[\"Year\"]\n",
    "y_pos = np.arange(len(years))\n",
    "\n",
    "# Show bar plot\n",
    "amount_of_paper = data[\"Amount\"]\n",
    "ax.barh(y_pos, amount_of_paper, align='center', alpha=0.5)\n",
    "\n",
    "\n",
    "# Make plot prettier\n",
    "ax.set_yticks(y_pos, labels=years)\n",
    "ax.invert_yaxis()  # labels read top-to-bottom\n",
    "ax.set_xlabel('Number of publications')\n",
    "ax.set_ylabel('Time period')\n",
    "ax.set_title('Number of publications\\nusing brain computer interface as search term (PubMed)')\n",
    "plt.xlim(right=2500)\n",
    "\n",
    "# Show amount value\n",
    "for i, v in enumerate(data[\"Amount\"]):\n",
    "    ax.text(v + 3, i + .25, \" \" + str(v), color='black')\n",
    "\n",
    "# Save the plot\n",
    "plt.tight_layout()\n",
    "plt.savefig('figures/A-figures/papers_on_bci.png', dpi=300)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fb4afe0",
   "metadata": {},
   "source": [
    "<hr><hr>\n",
    "\n",
    "## Longer window subject wise mean accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a570785f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "####################################################\n",
    "# PLOTTING FUNDING DATA\n",
    "####################################################\n",
    "\n",
    "names = ['ShallowConvNet', 'EEGNet', 'BiConvLSTM EEGNet', 'DeepConvNet', 'BiLSTM EEGNet']\n",
    "x_pos = np.arange(len(names))\n",
    "CTEs = [50.66, 60.68, 62.68, 64.61, 65.52]\n",
    "error  = [1.60, 1.64, 3.21, 3.44, 0.89]\n",
    "\n",
    "# Build the plot\n",
    "fig, ax = plt.subplots()\n",
    "ax.bar(x_pos, CTEs, yerr=error, align='center', alpha=0.5, ecolor='black', capsize=10)\n",
    "ax.set_ylabel('Mean test accuracy')\n",
    "ax.set_xticks(x_pos)\n",
    "ax.set_xticklabels(names)\n",
    "plt.xticks(rotation = 15)\n",
    "plt.ylim(bottom=40)\n",
    "#ax.set_title('Mean test accuracies and their standard deviation\\nfrom the longer window experiments in an intersubject evaluation setting')\n",
    "ax.yaxis.grid(True)\n",
    "\n",
    "# Save the figure and show\n",
    "plt.tight_layout()\n",
    "plt.savefig('figures/A-figures/new_subject_longer_window.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13d13b3a",
   "metadata": {},
   "source": [
    "<hr><hr>\n",
    "\n",
    "## Prediction times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "325aafa8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "####################################################\n",
    "# PLOTTING FUNDING DATA\n",
    "####################################################\n",
    "\n",
    "names = ['BiConvLSTM EEGNet', 'BiLSTM EEGNet', 'EEGNet', 'DeepConvNet', 'ShallowConvNet']\n",
    "x_pos = np.arange(len(names))\n",
    "CTEs = [0.1216, 0.0064, 0.0046, 0.0074, 0.005]\n",
    "error  = [0.0166, 0.0025, 0.0004, 0.0034, 0.0005]\n",
    "\n",
    "# Build the plot\n",
    "fig, ax = plt.subplots()\n",
    "ax.bar(x_pos, CTEs, yerr=error, align='center', alpha=0.5, ecolor='black', capsize=10)\n",
    "ax.set_ylabel('Time in seconds')\n",
    "ax.set_xticks(x_pos)\n",
    "ax.set_xticklabels(names)\n",
    "plt.xticks(rotation = 15)\n",
    "#plt.ylim(bottom=40)\n",
    "#ax.set_title('Mean test accuracies and their standard deviation\\nfrom the longer window experiments in an intersubject evaluation setting')\n",
    "ax.yaxis.grid(True)\n",
    "\n",
    "# Save the figure and show\n",
    "plt.tight_layout()\n",
    "plt.savefig('figures/A-figures/prediction_time.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67211603",
   "metadata": {},
   "source": [
    "<hr><hr>\n",
    "\n",
    "## Significance test\n",
    "\n",
    "Corrected t test implementation by [Weslley Lioba Caldas](https://github.com/weslleylc/mcji/blob/e5eb224ebd966a51d1854b3297e2ab93bf78b650/corrected_dependent_ttest.py).\n",
    "Based on correct t test by [Nadeau and Bengio](https://link.springer.com/article/10.1023/A:1024068626366)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "185e7426",
   "metadata": {},
   "outputs": [],
   "source": [
    "def corrected_dependent_ttest(data1, data2, n_training_samples, n_test_samples, alpha=0.05):\n",
    "    n = len(data1)\n",
    "    differences = [(data1[i]-data2[i]) for i in range(n)]\n",
    "    sd = stdev(differences)\n",
    "    divisor = 1 / n * sum(differences)\n",
    "    test_training_ratio = n_test_samples / n_training_samples\n",
    "    denominator = sqrt(1 / n + test_training_ratio) * sd\n",
    "    t_stat = divisor / (denominator + np.finfo(float).eps)\n",
    "    # degrees of freedom\n",
    "    df = n - 1\n",
    "    # calculate the critical value\n",
    "    cv = t.ppf(1.0 - alpha, df)\n",
    "    # calculate the p-value\n",
    "    p = (1.0 - t.cdf(abs(t_stat), df)) * 2.0\n",
    "    # return everything\n",
    "    return t_stat, df, cv, p"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "382c4ee7",
   "metadata": {},
   "source": [
    "### Accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4bf0d023",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P value for accuracy = 0.03015301417801508\n",
      "P value for accuracy = 0.03015301417801508\n"
     ]
    }
   ],
   "source": [
    "t_stat, df, cv, p = corrected_dependent_ttest(data1= [65.73, 64.34, 66.49], \n",
    "                                              data2= [62.19, 58.39, 61.47],\n",
    "                                              n_training_samples= 900*3*2,\n",
    "                                              n_test_samples= 900)\n",
    "\n",
    "print(f\"P value for accuracy = {p}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d156c722",
   "metadata": {},
   "source": [
    "### Left-hand PPV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a5e7e25c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P value for accuracy = 0.0396675975096743\n",
      "P value for accuracy = 0.0396675975096743\n"
     ]
    }
   ],
   "source": [
    "t_stat, df, cv, p = corrected_dependent_ttest(data1= [65.17, 80.19, 65.23], \n",
    "                                              data2= [63.09, 78.73, 62.57],\n",
    "                                              n_training_samples= 900*3*2,\n",
    "                                              n_test_samples= 900)\n",
    "\n",
    "print(f\"P value for accuracy = {p}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "219f9cff",
   "metadata": {},
   "source": [
    "### Right-hand PPV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a1e3b367",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P value for accuracy = 0.04051280391830736\n",
      "P value for accuracy = 0.04051280391830736\n"
     ]
    }
   ],
   "source": [
    "t_stat, df, cv, p = corrected_dependent_ttest(data1= [63.59, 62.39, 79.74], \n",
    "                                              data2= [56.81, 50.00, 68.36],\n",
    "                                              n_training_samples= 900*3*2,\n",
    "                                              n_test_samples= 900)\n",
    "\n",
    "print(f\"P value for accuracy = {p}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee912c6a",
   "metadata": {},
   "source": [
    "### Risky error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c4c81065",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P value for accuracy = 0.04404658498689762\n",
      "P value for accuracy = 0.04404658498689762\n"
     ]
    }
   ],
   "source": [
    "t_stat, df, cv, p = corrected_dependent_ttest(data1= [26.88, 18.14, 17.59], \n",
    "                                              data2= [34.17, 28.36, 23.14],\n",
    "                                              n_training_samples= 900*3*2,\n",
    "                                              n_test_samples= 900)\n",
    "\n",
    "print(f\"P value for accuracy = {p}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c7659ee8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  },
  "vscode": {
   "interpreter": {
    "hash": "f92ed28e6a5fe026f22555c18fed88052bb861e5576fb72d2ac78e2247fef331"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}