figure2_parameter difference plot-new.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "238aaea8",
   "metadata": {},
   "outputs": [],
   "source": [
    "%run SAT_help_functions.ipynb\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e982f82b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f70ef45f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_df_DDM_dif(df_SAT):\n",
    "    \n",
    "    params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\"]\n",
    "\n",
    "    df_SAT1 = df_SAT[[\"Drift Rate Speed\", \"Boundary Separation Speed\", \"Non-decision Time Speed\"]]\n",
    "    df_SAT1 = pd.DataFrame(np.array(df_SAT1), columns = params)\n",
    "    #df_SAT1[\"SAT\"] = [\"Speed\"]*len(df_SAT1)\n",
    "\n",
    "    df_SAT2 = df_SAT[[\"Drift Rate Accuracy\", \"Boundary Separation Accuracy\", \"Non-decision Time Accuracy\"]]\n",
    "    df_SAT2 = pd.DataFrame(np.array(df_SAT2), columns = params)\n",
    "    #df_SAT2[\"SAT\"] = [\"Accuracy\"]*len(df_SAT2)\n",
    "    \n",
    "    df_SAT = df_SAT1-df_SAT2\n",
    "    df_SAT_melted = pd.melt(df_SAT, #d_vars = [\"SAT\"], \n",
    "                    value_vars=params,\n",
    "                    var_name = \"Parameter\", value_name = \"Difference\")\n",
    "    return df_SAT_melted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "b9475f4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_df_OUM_dif(df_SAT):\n",
    "    \n",
    "    params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\", \"Self-excitation\"]\n",
    "\n",
    "    df_SAT1 = df_SAT[[\"Drift Rate Speed\", \"Boundary Separation Speed\", \"Non-decision Time Speed\", \"Self-excitation Speed\"]]\n",
    "    df_SAT1 = pd.DataFrame(np.array(df_SAT1), columns = params)\n",
    "    #df_SAT1[\"SAT\"] = [\"Speed\"]*len(df_SAT1)\n",
    "\n",
    "    df_SAT2 = df_SAT[[\"Drift Rate Accuracy\", \"Boundary Separation Accuracy\", \"Non-decision Time Accuracy\", \"Self-excitation Accuracy\"]]\n",
    "    df_SAT2 = pd.DataFrame(np.array(df_SAT2), columns = params)\n",
    "    #df_SAT2[\"SAT\"] = [\"Accuracy\"]*len(df_SAT2)\n",
    "    \n",
    "    df_SAT = df_SAT1-df_SAT2\n",
    "    df_SAT_melted = pd.melt(df_SAT, #d_vars = [\"SAT\"], \n",
    "                    value_vars=params,\n",
    "                    var_name = \"Parameter\", value_name = \"Difference\")\n",
    "    \n",
    "\n",
    "    return df_SAT_melted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "d3c2dbc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_df_LCTM_dif(df_SAT):\n",
    "    \n",
    "    params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\", \"Collapse Rate\"]\n",
    "\n",
    "    df_SAT1 = df_SAT[[\"Drift Rate Speed\", \"Boundary Separation Speed\", \"Non-decision Time Speed\", \"Collapse Speed\"]]\n",
    "    df_SAT1 = pd.DataFrame(np.array(df_SAT1), columns = params)\n",
    "    #df_SAT1[\"SAT\"] = [\"Speed\"]*len(df_SAT1)\n",
    "\n",
    "    df_SAT2 = df_SAT[[\"Drift Rate Accuracy\", \"Boundary Separation Accuracy\", \"Non-decision Time Accuracy\", \"Collapse Accuracy\"]]\n",
    "    df_SAT2 = pd.DataFrame(np.array(df_SAT2), columns = params)\n",
    "    #df_SAT2[\"SAT\"] = [\"Accuracy\"]*len(df_SAT2)\n",
    "    \n",
    "    df_SAT = df_SAT1-df_SAT2\n",
    "    df_SAT_melted = pd.melt(df_SAT, #d_vars = [\"SAT\"], \n",
    "                    value_vars=params,\n",
    "                    var_name = \"Parameter\", value_name = \"Difference\")\n",
    "    \n",
    "\n",
    "    return df_SAT_melted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4617a3dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\", \"Self-excitation\"]\n",
    "\n",
    "df_SAT1 = df_SAT[[\"Drift Rate Speed\", \"Boundary Separation Speed\", \"Non-decision Time Speed\", \"Self-excitation Speed\"]]\n",
    "df_SAT1 = pd.DataFrame(np.array(df_SAT1), columns = params)\n",
    "#df_SAT1[\"SAT\"] = [\"Speed\"]*len(df_SAT1)\n",
    "\n",
    "df_SAT2 = df_SAT[[\"Drift Rate Accuracy\", \"Boundary Separation Accuracy\", \"Non-decision Time Accuracy\", \"Self-excitation Accuracy\"]]\n",
    "df_SAT2 = pd.DataFrame(np.array(df_SAT2), columns = params)\n",
    "#df_SAT2[\"SAT\"] = [\"Accuracy\"]*len(df_SAT2)\n",
    "\n",
    "df_SAT_jasp = df_SAT1-df_SAT2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0cedcad4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_SAT_jasp.to_csv(\"jasp.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "595706e0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20b50b7f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "52b56b37",
   "metadata": {},
   "outputs": [],
   "source": [
    "datasets = ['Dutilh2013', 'Dutilh2019', 'Evans2017', 'Lerche2017', 'Rae2014', 'Wagenmakers2008']\n",
    "dataset_names = ['D13', 'D19', 'E17', 'L17', 'R14', 'W08']\n",
    "\n",
    "DDM_all = pd.DataFrame()\n",
    "for i in range(6):\n",
    "    \n",
    "    df_SAT = pd.read_csv('results/DDM2v2a2terresult'+datasets[i]+'.csv')\n",
    "    \n",
    "    if datasets[i] =='Wagenmakers2008':\n",
    "        df_SAT = df_SAT.groupby(by=\"Participant\").mean()\n",
    "\n",
    "    \n",
    "    df_SAT_melted = transform_df_DDM_dif(df_SAT)\n",
    "    df_SAT_melted[\"Dataset\"] = dataset_names[i]\n",
    "    \n",
    "    DDM_all = pd.concat((DDM_all,df_SAT_melted))\n",
    "    \n",
    "#g = sns.catplot(kind = \"box\", data=DDM_all, x=\"Dataset\", y=\"Difference\", col=\"Parameter\",hue = \"Dataset\")\n",
    "#g.set_xticklabels(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "e71f84fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "datasets = ['Dutilh2013', 'Dutilh2019', 'Evans2017', 'Lerche2017', 'Rae2014', 'Wagenmakers2008']\n",
    "dataset_names = ['D13', 'D19', 'E17', 'L17', 'R14', 'W08']\n",
    "\n",
    "OUM_all = pd.DataFrame()\n",
    "for i in range(6):\n",
    "    \n",
    "    df_SAT = pd.read_csv('results/OUMfullresult'+datasets[i]+'.csv')\n",
    "    if datasets[i] =='Wagenmakers2008':\n",
    "        df_SAT = df_SAT.groupby(by=\"Participant\").mean()\n",
    "\n",
    "    df_SAT_melted = transform_df_OUM_dif(df_SAT)\n",
    "    df_SAT_melted[\"Dataset\"] = dataset_names[i]\n",
    "    \n",
    "    OUM_all = pd.concat((OUM_all,df_SAT_melted))\n",
    "    \n",
    "#g = sns.catplot(kind = \"box\", data=OUM_all, x=\"Dataset\", y=\"Difference\", col=\"Parameter\",hue = \"Dataset\")\n",
    "#g.set_xticklabels(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "0ce767f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "datasets = ['Dutilh2013', 'Dutilh2019', 'Evans2017', 'Lerche2017', 'Rae2014', 'Wagenmakers2008']\n",
    "dataset_names = ['D13', 'D19', 'E17', 'L17', 'R14', 'W08']\n",
    "\n",
    "LCTM_all = pd.DataFrame()\n",
    "for i in range(6):\n",
    "    \n",
    "    df_SAT = pd.read_csv('results/DDM2v2a2c2terresult'+datasets[i]+'.csv')\n",
    "    if datasets[i] =='Wagenmakers2008':\n",
    "        df_SAT = df_SAT.groupby(by=\"Participant\").mean()\n",
    "\n",
    "    df_SAT_melted = transform_df_LCTM_dif(df_SAT)\n",
    "    df_SAT_melted[\"Dataset\"] = dataset_names[i]\n",
    "    \n",
    "    LCTM_all = pd.concat((LCTM_all,df_SAT_melted))\n",
    "    \n",
    "#g = sns.catplot(kind = \"box\", data=OUM_all, x=\"Dataset\", y=\"Difference\", col=\"Parameter\",hue = \"Dataset\")\n",
    "#g.set_xticklabels(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "451e319f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/5g/vqmn12yd48z6l6jf2s2yy62r0000gn/T/ipykernel_28745/1706852482.py:7: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(ax = ax[i], data=DDM_all[DDM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\",edgecolor=[\"grey\"]*6, palette=[\"white\"]*6,linewidth=2)\n",
      "/var/folders/5g/vqmn12yd48z6l6jf2s2yy62r0000gn/T/ipykernel_28745/1706852482.py:7: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(ax = ax[i], data=DDM_all[DDM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\",edgecolor=[\"grey\"]*6, palette=[\"white\"]*6,linewidth=2)\n",
      "/var/folders/5g/vqmn12yd48z6l6jf2s2yy62r0000gn/T/ipykernel_28745/1706852482.py:7: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(ax = ax[i], data=DDM_all[DDM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\",edgecolor=[\"grey\"]*6, palette=[\"white\"]*6,linewidth=2)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
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      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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",
      "text/plain": [
       "<Figure size 1300x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\"]\n",
    "\n",
    "fig, ax = plt.subplots(1,3,figsize=(13,4))\n",
    "\n",
    "for i in range(3):\n",
    "\n",
    "    sns.barplot(ax = ax[i], data=DDM_all[DDM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\",edgecolor=[\"grey\"]*6, palette=[\"white\"]*6,linewidth=2)\n",
    "    sns.stripplot(ax = ax[i], data=DDM_all[DDM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"white\"]*6, alpha=.3,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "    ax[i].spines[['right', 'top']].set_visible(False)\n",
    "    ax[i].axhline(y=0,linestyle=\"--\",color='black') \n",
    "    ax[i].set_xlabel(\"\")\n",
    "    ax[i].set_ylabel(\"\")\n",
    "    ax[i].set_title(params[i], font = \"Arial\", size = 16, weight='bold') \n",
    "    #ax[i].get_legend().remove()\n",
    "\n",
    "\n",
    "ax[0].set_ylabel(\"Larger in Accuracy Cond.               Larger in Speed Cond.\", font = \"Arial\", size = 10)\n",
    "\n",
    "#plt.arrow(x=-4, y=0, dx=0, dy=1,shape = \"full\")\n",
    "ax[0].annotate('', xy=(-0.2, -0.1), xycoords='axes fraction', xytext=(-0.2, 1.1),\n",
    "            arrowprops=dict(arrowstyle=\"<->\", color='black'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6cd86928",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "from statannotations.Annotator import Annotator\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "186485e9",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'seaborn.categorical' has no attribute '_BoxPlotter'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[33], line 5\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mstatannot\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m add_stat_annotation\n\u001b[1;32m      4\u001b[0m box_pairs\u001b[38;5;241m=\u001b[39m[(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD13\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD19\u001b[39m\u001b[38;5;124m'\u001b[39m)]\n\u001b[0;32m----> 5\u001b[0m annotator \u001b[38;5;241m=\u001b[39m Annotator(ax[\u001b[38;5;241m0\u001b[39m], box_pairs, data\u001b[38;5;241m=\u001b[39mOUM_all[OUM_all[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mParameter\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m==\u001b[39mparams[\u001b[38;5;241m0\u001b[39m]], x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDataset\u001b[39m\u001b[38;5;124m\"\u001b[39m, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDifference\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      6\u001b[0m annotator\u001b[38;5;241m.\u001b[39mconfigure(test\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt-test_ind\u001b[39m\u001b[38;5;124m'\u001b[39m, text_format\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstar\u001b[39m\u001b[38;5;124m'\u001b[39m,comparisons_correction\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;66;03m#, loc='outside' Bonferroni\u001b[39;00m\n\u001b[1;32m      7\u001b[0m annotator\u001b[38;5;241m.\u001b[39mapply_and_annotate()\n",
      "File \u001b[0;32m~/anaconda3/envs/pyddm/lib/python3.11/site-packages/statannotations/Annotator.py:106\u001b[0m, in \u001b[0;36mAnnotator.__init__\u001b[0;34m(self, ax, pairs, plot, data, x, y, hue, order, hue_order, engine, verbose, **plot_params)\u001b[0m\n\u001b[1;32m    104\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_plotter \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    105\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 106\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_plotter \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_plotter(engine, ax, pairs, plot, data,\n\u001b[1;32m    107\u001b[0m                                       x, y, hue, order, hue_order,\n\u001b[1;32m    108\u001b[0m                                       verbose\u001b[38;5;241m=\u001b[39mverbose, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mplot_params)\n\u001b[1;32m    110\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_test \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    111\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mperform_stat_test \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
      "File \u001b[0;32m~/anaconda3/envs/pyddm/lib/python3.11/site-packages/statannotations/Annotator.py:776\u001b[0m, in \u001b[0;36mAnnotator._get_plotter\u001b[0;34m(engine, *args, **kwargs)\u001b[0m\n\u001b[1;32m    774\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m engine_plotter \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    775\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mengine\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m engine not implemented.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 776\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m engine_plotter(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[0;32m~/anaconda3/envs/pyddm/lib/python3.11/site-packages/statannotations/_Plotter.py:87\u001b[0m, in \u001b[0;36m_SeabornPlotter.__init__\u001b[0;34m(self, ax, pairs, plot, data, x, y, hue, order, hue_order, verbose, **plot_params)\u001b[0m\n\u001b[1;32m     85\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcheck_plot_is_implemented(plot)\n\u001b[1;32m     86\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mplot \u001b[38;5;241m=\u001b[39m plot\n\u001b[0;32m---> 87\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mplotter \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_plotter(plot, x, y, hue, data, order,\n\u001b[1;32m     88\u001b[0m                                  hue_order, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mplot_params)\n\u001b[1;32m     90\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgroup_names, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabels \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_group_names_and_labels()\n\u001b[1;32m     91\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgroups_positions \u001b[38;5;241m=\u001b[39m _GroupsPositions(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mplotter,\n\u001b[1;32m     92\u001b[0m                                          \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgroup_names)\n",
      "File \u001b[0;32m~/anaconda3/envs/pyddm/lib/python3.11/site-packages/statannotations/_Plotter.py:119\u001b[0m, in \u001b[0;36m_SeabornPlotter._get_plotter\u001b[0;34m(self, plot, x, y, hue, data, order, hue_order, **plot_params)\u001b[0m\n\u001b[1;32m    116\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfix_and_warn(dodge, hue, plot)\n\u001b[1;32m    118\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m plot \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mboxplot\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m--> 119\u001b[0m     plotter \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mcategorical\u001b[38;5;241m.\u001b[39m_BoxPlotter(\n\u001b[1;32m    120\u001b[0m \n\u001b[1;32m    121\u001b[0m         x, y, hue, data, order, hue_order,\n\u001b[1;32m    122\u001b[0m         orient\u001b[38;5;241m=\u001b[39mplot_params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124morient\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m    123\u001b[0m         width\u001b[38;5;241m=\u001b[39mplot_params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwidth\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m0.8\u001b[39m),\n\u001b[1;32m    124\u001b[0m         dodge\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m    125\u001b[0m         fliersize\u001b[38;5;241m=\u001b[39mplot_params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfliersize\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m5\u001b[39m),\n\u001b[1;32m    126\u001b[0m         linewidth\u001b[38;5;241m=\u001b[39mplot_params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlinewidth\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m    127\u001b[0m         saturation\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m.75\u001b[39m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, palette\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m    129\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m plot \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mswarmplot\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m    130\u001b[0m     plotter \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mcategorical\u001b[38;5;241m.\u001b[39m_SwarmPlotter(\n\u001b[1;32m    131\u001b[0m         x, y, hue, data, order, hue_order,\n\u001b[1;32m    132\u001b[0m         orient\u001b[38;5;241m=\u001b[39mplot_params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124morient\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m    133\u001b[0m         dodge\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, palette\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m)\n",
      "\u001b[0;31mAttributeError\u001b[0m: module 'seaborn.categorical' has no attribute '_BoxPlotter'"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from statannotations.Annotator import Annotator\n",
    "from statannot import add_stat_annotation\n",
    "\n",
    "box_pairs=[('D13', 'D19')]\n",
    "annotator = Annotator(ax[0], box_pairs, data=OUM_all[OUM_all[\"Parameter\"]==params[0]], x=\"Dataset\", y=\"Difference\")\n",
    "annotator.configure(test='t-test_ind', text_format='star',comparisons_correction=None) #, loc='outside' Bonferroni\n",
    "annotator.apply_and_annotate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a0ab58fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.13.2'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "8e0d8693",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\", \"Self-excitation\"]\n",
    "fig, ax = plt.subplots(1,4,figsize=(18,4))\n",
    "\n",
    "for i in range(4):\n",
    "    sns.stripplot(ax = ax[i], data=OUM_all[OUM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"white\"]*6, alpha=.3,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "    sns.barplot(ax = ax[i], data=OUM_all[OUM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\"\n",
    "        ,edgecolor=[\"grey\"]*6, color=\"white\",linewidth=2,capsize=0.2) # \n",
    "    #sns.scatterplot(ax = ax[i], data=OUM_all_p[OUM_all_p[\"Parameter\"]==params[i]],x=\"Dataset\", y=\"Significance\",marker = \"*\",s=200)\n",
    "    \n",
    "    ax[i].spines[['right', 'top']].set_visible(False)\n",
    "    ax[i].spines[['left', 'bottom']].set_linewidth(3)\n",
    "    ax[i].axhline(y=0,linestyle=\"--\",color='black') \n",
    "    ax[i].set_xlabel(\"\")\n",
    "    ax[i].set_ylabel(\"\")\n",
    "    ax[i].set_title(params[i], font = \"Arial\", size = 16, weight='bold') \n",
    "    #ax[i].get_legend().remove()\n",
    "\n",
    "ax[0].set_ylabel(\"Larger in Accuracy Cond.               Larger in Speed Cond.\", font = \"Arial\", size = 10)\n",
    "\n",
    "#plt.arrow(x=-4, y=0, dx=0, dy=1,shape = \"full\")\n",
    "ax[0].annotate('', xy=(-0.2, -0.1), xycoords='axes fraction', xytext=(-0.2, 1.1),\n",
    "            arrowprops=dict(arrowstyle=\"<->\", color='black'))\n",
    "\n",
    "\n",
    "plt.rcParams['pdf.fonttype']=42\n",
    "plt.rcParams['ps.fonttype']=42\n",
    "\n",
    "#plt.savefig(\"/Users/wangjiashun/Desktop/Research_on_SAT/Draft/Figures/fig2_new.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "0fcbf96b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\", \"Self-excitation\"]\n",
    "fig, ax = plt.subplots(1,4,figsize=(18,4))\n",
    "\n",
    "for i in range(4):\n",
    "    sns.stripplot(ax = ax[i], data=OUM_all[OUM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\", alpha=.3,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "    sns.barplot(ax = ax[i], data=OUM_all[OUM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\", edgecolor=[\"grey\"]*6, color=\"white\", linewidth=2,errorbar=('ci', 95),err_kws={\"linewidth\": 2.5},capsize=.2)\n",
    "    sns.scatterplot(ax = ax[i], data=OUM_all_p[OUM_all_p[\"Parameter\"]==params[i]],x=\"Dataset\", y=\"Significance\",marker = \"*\",s=200,color =\"pink\", alpha=1)\n",
    "    \n",
    "    ax[i].spines[['right', 'top']].set_visible(False)\n",
    "    ax[i].spines[['left', 'bottom']].set_linewidth(3)\n",
    "    ax[i].axhline(y=0,linestyle=\"--\",color='black') \n",
    "    ax[i].set_xlabel(\"\")\n",
    "    ax[i].set_ylabel(\"\")\n",
    "    ax[i].set_title(params[i], font = \"Arial\", size = 16, weight='bold') \n",
    "\n",
    "ax[0].set_ylabel(\"Larger in Accuracy Cond.               Larger in Speed Cond.\", font = \"Arial\", size = 10)\n",
    "\n",
    "#plt.arrow(x=-4, y=0, dx=0, dy=1,shape = \"full\")\n",
    "ax[0].annotate('', xy=(-0.2, -0.1), xycoords='axes fraction', xytext=(-0.2, 1.1),\n",
    "            arrowprops=dict(arrowstyle=\"<->\", color='black'))\n",
    "ax[1].set_title(\"Threshold\", font = \"Arial\", size = 16, weight='bold') \n",
    "\n",
    "\n",
    "plt.rcParams['pdf.fonttype']=42\n",
    "plt.rcParams['ps.fonttype']=42\n",
    "\n",
    "plt.savefig(\"/Users/wangjiashun/Desktop/Research_on_SAT/Draft/Figures/fig2_new.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "4039d2e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c4e6bcf7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['D13', 'D19', 'E17', 'L17', 'R14', 'W08']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_names\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0231f31a",
   "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>Parameter</th>\n",
       "      <th>Dataset</th>\n",
       "      <th>Difference</th>\n",
       "      <th>Significance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Boundary Separation</td>\n",
       "      <td>D19</td>\n",
       "      <td>1.549369e-02</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Boundary Separation</td>\n",
       "      <td>R14</td>\n",
       "      <td>1.648816e-02</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>D13</td>\n",
       "      <td>3.618373e-05</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>D19</td>\n",
       "      <td>2.478554e-03</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>E17</td>\n",
       "      <td>6.250922e-04</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>R14</td>\n",
       "      <td>8.087028e-07</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>D13</td>\n",
       "      <td>1.031210e-03</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>D19</td>\n",
       "      <td>4.988721e-04</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>E17</td>\n",
       "      <td>2.169770e-04</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>L17</td>\n",
       "      <td>1.353330e-03</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>W08</td>\n",
       "      <td>2.022985e-03</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>D13</td>\n",
       "      <td>1.734728e-04</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>D19</td>\n",
       "      <td>3.039214e-07</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>E17</td>\n",
       "      <td>7.347769e-11</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>L17</td>\n",
       "      <td>1.730278e-02</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>R14</td>\n",
       "      <td>8.777335e-05</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>W08</td>\n",
       "      <td>8.810802e-07</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Parameter Dataset    Difference  Significance\n",
       "1   Boundary Separation     D19  1.549369e-02             8\n",
       "4   Boundary Separation     R14  1.648816e-02             8\n",
       "6            Drift Rate     D13  3.618373e-05             3\n",
       "7            Drift Rate     D19  2.478554e-03             3\n",
       "8            Drift Rate     E17  6.250922e-04             3\n",
       "10           Drift Rate     R14  8.087028e-07             3\n",
       "12    Non-decision Time     D13  1.031210e-03             1\n",
       "13    Non-decision Time     D19  4.988721e-04             1\n",
       "14    Non-decision Time     E17  2.169770e-04             1\n",
       "15    Non-decision Time     L17  1.353330e-03             1\n",
       "17    Non-decision Time     W08  2.022985e-03             1\n",
       "18      Self-excitation     D13  1.734728e-04            21\n",
       "19      Self-excitation     D19  3.039214e-07            21\n",
       "20      Self-excitation     E17  7.347769e-11            21\n",
       "21      Self-excitation     L17  1.730278e-02            21\n",
       "22      Self-excitation     R14  8.777335e-05            21\n",
       "23      Self-excitation     W08  8.810802e-07            21"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OUM_all_p = OUM_all.groupby(['Parameter', 'Dataset'], as_index=False)['Difference'].agg(lambda x: scipy.stats.t.cdf(-abs(np.mean(x)*np.sqrt(len(x))/np.std(x)), len(x)-1)*2)\n",
    "OUM_all_p[\"Significance\"] = (OUM_all_p[\"Difference\"]<0.05)*1\n",
    "OUM_all_p = OUM_all_p[OUM_all_p[\"Significance\"]==True]\n",
    "\n",
    "sizes = [3,8,1,21]\n",
    "for i in range(4):\n",
    "    OUM_all_p.loc[OUM_all_p[\"Parameter\"]==params[i],\"Significance\"] *= sizes[i]\n",
    "OUM_all_p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "d1a66416",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75170080",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "4868878d",
   "metadata": {},
   "source": [
    "##  LCTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "5ced084d",
   "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>Parameter</th>\n",
       "      <th>Dataset</th>\n",
       "      <th>Difference</th>\n",
       "      <th>Significance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Boundary Separation</td>\n",
       "      <td>D19</td>\n",
       "      <td>7.813159e-03</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Boundary Separation</td>\n",
       "      <td>E17</td>\n",
       "      <td>1.019691e-03</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Boundary Separation</td>\n",
       "      <td>L17</td>\n",
       "      <td>9.476339e-07</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Boundary Separation</td>\n",
       "      <td>R14</td>\n",
       "      <td>5.574797e-05</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Boundary Separation</td>\n",
       "      <td>W08</td>\n",
       "      <td>1.584701e-04</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Collapse Rate</td>\n",
       "      <td>D19</td>\n",
       "      <td>2.141737e-05</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Collapse Rate</td>\n",
       "      <td>E17</td>\n",
       "      <td>2.184548e-05</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Collapse Rate</td>\n",
       "      <td>W08</td>\n",
       "      <td>3.474128e-06</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>D13</td>\n",
       "      <td>2.952243e-04</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>D19</td>\n",
       "      <td>1.964191e-03</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>E17</td>\n",
       "      <td>4.180125e-06</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>R14</td>\n",
       "      <td>7.835126e-08</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>D13</td>\n",
       "      <td>1.661415e-04</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>D19</td>\n",
       "      <td>2.857491e-07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>E17</td>\n",
       "      <td>3.522730e-04</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>L17</td>\n",
       "      <td>1.017220e-02</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>R14</td>\n",
       "      <td>6.588127e-06</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Non-decision Time</td>\n",
       "      <td>W08</td>\n",
       "      <td>1.044683e-04</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Parameter Dataset    Difference  Significance\n",
       "1   Boundary Separation     D19  7.813159e-03             2\n",
       "2   Boundary Separation     E17  1.019691e-03             2\n",
       "3   Boundary Separation     L17  9.476339e-07             2\n",
       "4   Boundary Separation     R14  5.574797e-05             2\n",
       "5   Boundary Separation     W08  1.584701e-04             2\n",
       "7         Collapse Rate     D19  2.141737e-05             2\n",
       "8         Collapse Rate     E17  2.184548e-05             2\n",
       "11        Collapse Rate     W08  3.474128e-06             2\n",
       "12           Drift Rate     D13  2.952243e-04             3\n",
       "13           Drift Rate     D19  1.964191e-03             3\n",
       "14           Drift Rate     E17  4.180125e-06             3\n",
       "16           Drift Rate     R14  7.835126e-08             3\n",
       "18    Non-decision Time     D13  1.661415e-04             1\n",
       "19    Non-decision Time     D19  2.857491e-07             1\n",
       "20    Non-decision Time     E17  3.522730e-04             1\n",
       "21    Non-decision Time     L17  1.017220e-02             1\n",
       "22    Non-decision Time     R14  6.588127e-06             1\n",
       "23    Non-decision Time     W08  1.044683e-04             1"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LCTM_all_p = LCTM_all.groupby(['Parameter', 'Dataset'], as_index=False)['Difference'].agg(lambda x: scipy.stats.t.cdf(-abs(np.mean(x)*np.sqrt(len(x))/np.std(x)), len(x)-1)*2)\n",
    "LCTM_all_p[\"Significance\"] = (LCTM_all_p[\"Difference\"]<0.05)*1\n",
    "LCTM_all_p = LCTM_all_p[LCTM_all_p[\"Significance\"]==True]\n",
    "\n",
    "sizes = [3,2,1,2]\n",
    "for i in range(4):\n",
    "    LCTM_all_p.loc[LCTM_all_p[\"Parameter\"]==params[i],\"Significance\"] *= sizes[i]\n",
    "LCTM_all_p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "8500da9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\", \"Collapse Rate\"]\n",
    "fig, ax = plt.subplots(1,4,figsize=(18,4))\n",
    "\n",
    "for i in range(4):\n",
    "    sns.stripplot(ax = ax[i], data=LCTM_all[LCTM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\", alpha=.3,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "    sns.barplot(ax = ax[i], data=LCTM_all[LCTM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\", edgecolor=[\"grey\"]*6, color=\"white\", linewidth=2,errorbar=('ci', 95),err_kws={\"linewidth\": 2.5},capsize=.2)\n",
    "    sns.scatterplot(ax = ax[i], data=LCTM_all_p[LCTM_all_p[\"Parameter\"]==params[i]],x=\"Dataset\", y=\"Significance\",marker = \"*\",s=200,color =\"pink\", alpha=1)\n",
    "    \n",
    "    ax[i].spines[['right', 'top']].set_visible(False)\n",
    "    ax[i].spines[['left', 'bottom']].set_linewidth(3)\n",
    "    ax[i].axhline(y=0,linestyle=\"--\",color='black') \n",
    "    ax[i].set_xlabel(\"\")\n",
    "    ax[i].set_ylabel(\"\")\n",
    "    ax[i].set_title(params[i], font = \"Arial\", size = 16, weight='bold') \n",
    "\n",
    "ax[0].set_ylabel(\"Larger in Accuracy Cond.               Larger in Speed Cond.\", font = \"Arial\", size = 10)\n",
    "\n",
    "#plt.arrow(x=-4, y=0, dx=0, dy=1,shape = \"full\")\n",
    "ax[0].annotate('', xy=(-0.2, -0.1), xycoords='axes fraction', xytext=(-0.2, 1.1),\n",
    "            arrowprops=dict(arrowstyle=\"<->\", color='black'))\n",
    "ax[1].set_title(\"Threshold\", font = \"Arial\", size = 16, weight='bold') \n",
    "\n",
    "\n",
    "plt.rcParams['pdf.fonttype']=42\n",
    "plt.rcParams['ps.fonttype']=42\n",
    "\n",
    "#plt.savefig(\"/Users/wangjiashun/Desktop/Research_on_SAT/Draft/Figures/fig2_new.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0aef9a13",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f1f90697",
   "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>Parameter</th>\n",
       "      <th>Difference</th>\n",
       "      <th>Dataset</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>-0.744406</td>\n",
       "      <td>D13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>0.420909</td>\n",
       "      <td>D13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>D13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>-2.102901</td>\n",
       "      <td>D13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Drift Rate</td>\n",
       "      <td>0.022561</td>\n",
       "      <td>D13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>4.851177</td>\n",
       "      <td>W08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>8.598301</td>\n",
       "      <td>W08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>8.943536</td>\n",
       "      <td>W08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>4.656148</td>\n",
       "      <td>W08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Self-excitation</td>\n",
       "      <td>3.925944</td>\n",
       "      <td>W08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>748 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Parameter  Difference Dataset\n",
       "0        Drift Rate   -0.744406     D13\n",
       "1        Drift Rate    0.420909     D13\n",
       "2        Drift Rate    0.000000     D13\n",
       "3        Drift Rate   -2.102901     D13\n",
       "4        Drift Rate    0.022561     D13\n",
       "..              ...         ...     ...\n",
       "59  Self-excitation    4.851177     W08\n",
       "60  Self-excitation    8.598301     W08\n",
       "61  Self-excitation    8.943536     W08\n",
       "62  Self-excitation    4.656148     W08\n",
       "63  Self-excitation    3.925944     W08\n",
       "\n",
       "[748 rows x 3 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "OUM_all"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fdf60cf",
   "metadata": {},
   "source": [
    "## Appendix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf7c1bf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "params = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\", \"Self-excitation\"]\n",
    "\n",
    "fig, ax = plt.subplots(1,4,figsize=(18,4))\n",
    "\n",
    "for i in range(4):\n",
    "    sns.boxplot(ax = ax[i], data=OUM_all[OUM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"grey\"]*6, showfliers = False)\n",
    "    sns.stripplot(ax = ax[i], data=OUM_all[OUM_all[\"Parameter\"]==params[i]], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"white\"]*6, alpha=.5,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "\n",
    "    ax[i].spines[['right', 'top']].set_visible(False)\n",
    "    ax[i].axhline(y=0,linestyle=\"--\",color='black') \n",
    "    ax[i].set_xlabel(\"\")\n",
    "    ax[i].set_ylabel(\"\")\n",
    "    ax[i].set_title(params[i], font = \"Arial\", size = 10, weight='bold') \n",
    "\n",
    "ax[0].set_ylabel(\"Larger in Accuracy Cond.               Larger in Speed Cond.\", font = \"Arial\", size = 10)\n",
    "\n",
    "#plt.arrow(x=-4, y=0, dx=0, dy=1,shape = \"full\")\n",
    "ax[0].annotate('', xy=(-0.2, -0.1), xycoords='axes fraction', xytext=(-0.2, 1.1),\n",
    "            arrowprops=dict(arrowstyle=\"<->\", color='black'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "d22177fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(-0.2, 1.1, '')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,4,figsize=(18,4))\n",
    "\n",
    "sns.barplot(ax = ax[0], data=OUM_all[OUM_all[\"Parameter\"]==\"Drift Rate\"], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", edgecolor=[\"grey\"]*6, palette=[\"white\"]*6,linewidth=2,errorbar=('ci', 95),err_kws={\"linewidth\": 2.5})\n",
    "sns.stripplot(ax = ax[0], data=OUM_all[OUM_all[\"Parameter\"]==\"Drift Rate\"], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"white\"]*6, alpha=.3,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "\n",
    "sns.barplot(ax = ax[1], data=OUM_all[OUM_all[\"Parameter\"]==\"Boundary Separation\"], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"grey\"]*6,errorbar=('ci', 95))\n",
    "sns.stripplot(ax = ax[1], data=OUM_all[OUM_all[\"Parameter\"]==\"Boundary Separation\"], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"white\"]*6, alpha=.3,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "\n",
    "sns.barplot(ax = ax[2], data=OUM_all[OUM_all[\"Parameter\"]==\"Non-decision Time\"], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"grey\"]*6,errorbar=('ci', 95))\n",
    "sns.stripplot(ax = ax[2], data=OUM_all[OUM_all[\"Parameter\"]==\"Non-decision Time\"], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"white\"]*6, alpha=.5,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "\n",
    "sns.barplot(ax = ax[3], data=OUM_all[OUM_all[\"Parameter\"]==\"Self-excitation\"], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"grey\"]*6,errorbar=('ci', 95))\n",
    "sns.stripplot(ax = ax[3], data=OUM_all[OUM_all[\"Parameter\"]==\"Self-excitation\"], x=\"Dataset\", y=\"Difference\",hue = \"Dataset\", palette=[\"white\"]*6, alpha=.5,edgecolor=\"black\",linewidth=1,size = 3)\n",
    "\n",
    "\n",
    "ax[0].set_ylabel(\"Larger in Accuracy Cond.               Larger in Speed Cond.\", font = \"Arial\", size = 10)\n",
    "\n",
    "\n",
    "\n",
    "ax[1].set_ylabel(\"\")\n",
    "ax[2].set_ylabel(\"\")\n",
    "ax[3].set_ylabel(\"\")\n",
    "\n",
    "ax[0].set_title(\"Drift Rate\", font = \"Arial\", size = 10, weight='bold') \n",
    "ax[1].set_title(\"Boundary Separation\", font = \"Arial\", size = 10, weight='bold') \n",
    "ax[2].set_title(\"Non-decision Time\", font = \"Arial\", size = 10, weight='bold') \n",
    "ax[3].set_title(\"Self-excitation\", font = \"Arial\", size = 10, weight='bold') \n",
    "\n",
    "for i in range(4):\n",
    "    ax[i].spines[['right', 'top']].set_visible(False)\n",
    "    ax[i].axhline(y=0,linestyle=\"--\",color='black') \n",
    "    ax[i].set_xlabel(\"\")\n",
    "\n",
    "\n",
    "\n",
    "#plt.arrow(x=-4, y=0, dx=0, dy=1,shape = \"full\")\n",
    "ax[0].annotate('', xy=(-0.2, -0.1), xycoords='axes fraction', xytext=(-0.2, 1.1),\n",
    "            arrowprops=dict(arrowstyle=\"<->\", color='black'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "45ae79c3",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'DDM_all' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[43], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m sns\u001b[38;5;241m.\u001b[39mcatplot(kind \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbox\u001b[39m\u001b[38;5;124m\"\u001b[39m, data\u001b[38;5;241m=\u001b[39mDDM_all, x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mParameter\u001b[39m\u001b[38;5;124m\"\u001b[39m, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDifference\u001b[39m\u001b[38;5;124m\"\u001b[39m,color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.9\u001b[39m\u001b[38;5;124m\"\u001b[39m, showfliers \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m      2\u001b[0m g \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mstripplot(data\u001b[38;5;241m=\u001b[39mDDM_all, x\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mParameter\u001b[39m\u001b[38;5;124m\"\u001b[39m, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDifference\u001b[39m\u001b[38;5;124m\"\u001b[39m, size\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m5\u001b[39m, hue \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDataset\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      4\u001b[0m g\u001b[38;5;241m.\u001b[39mset_xticklabels(labels \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDrift Rate\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBoundary Separation\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNon-decision Time\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[1;32m      5\u001b[0m                   rotation\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m30\u001b[39m)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'DDM_all' is not defined"
     ]
    }
   ],
   "source": [
    "sns.catplot(kind = \"box\", data=DDM_all, x=\"Parameter\", y=\"Difference\",color=\".9\", showfliers = False)\n",
    "g = sns.stripplot(data=DDM_all, x=\"Parameter\", y=\"Difference\", size=5, hue = \"Dataset\")\n",
    "\n",
    "g.set_xticklabels(labels = [\"Drift Rate\", \"Boundary Separation\", \"Non-decision Time\"],\n",
    "                  rotation=30)\n",
    "sns.move_legend(g, \"upper right\", bbox_to_anchor=(1.5, 1), frameon=False)\n",
    "\n",
    "plt.axhline(y=0,linestyle=\"--\",color='black') \n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "8491afb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir = \"/Users/wangjiashun/Desktop/Reserach on SAT/datasets/Lexical Decision Data/SpeedAccData.csv\"\n",
    "        df = pd.read_csv(data_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b6b9d36b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "5da9f5bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# preprocess EJ2008\n",
    "data_dir = \"/Users/wangjiashun/Desktop/Reserach on SAT/datasets/transformed/Wagenmakers2008/SpeedAccData.csv\"\n",
    "df = pd.read_csv(data_dir)\n",
    "df = df.rename(columns={\"SAT\": \"Cond\", \"RT\": \"Time\"})\n",
    "df.loc[df[\"Cond\"]==1,\"Cond\"] = \"Speed\"\n",
    "df.loc[df[\"Cond\"]==2,\"Cond\"] = \"Accuracy\"\n",
    "df.to_csv(\"/Users/wangjiashun/Desktop/Reserach on SAT/datasets/transformed/Wagenmakers2008/SpeedAccData_new.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "6b0b0ce1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "bbe31218",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a411375",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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