Update documentation

_sources/auto-research-outputs.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "615bc61b",
+   "id": "bb5b88be",
    "metadata": {},
    "source": [
     "(auto-research-outputs)=\n",
@@ -76,67 +76,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "033d9c5a",
+   "execution_count": null,
+   "id": "5c1fc048",
    "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>time</th>\n",
-       "      <th>Lunch</th>\n",
-       "      <th>Dinner</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>smoker</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Yes</th>\n",
-       "      <td>2.83</td>\n",
-       "      <td>3.07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>No</th>\n",
-       "      <td>2.67</td>\n",
-       "      <td>3.13</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "time    Lunch  Dinner\n",
-       "smoker               \n",
-       "Yes      2.83    3.07\n",
-       "No       2.67    3.13"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import seaborn as sns\n",
     "import pandas as pd\n",
@@ -149,82 +92,36 @@
   },
   {
    "cell_type": "markdown",
-   "id": "01b32733",
+   "id": "9cc82578",
    "metadata": {},
    "source": [
     "This can be turned into a $\\LaTeX$ table using the following command"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "78fccfc0",
+   "execution_count": null,
+   "id": "67c5537e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'\\\\begin{table}\\n\\\\caption{A Table}\\n\\\\label{tab:descriptive}\\n\\\\begin{tabular}{lrr}\\ntime & Lunch & Dinner \\\\\\\\\\nsmoker &  &  \\\\\\\\\\nYes & 2.830000 & 3.070000 \\\\\\\\\\nNo & 2.670000 & 3.130000 \\\\\\\\\\n\\\\end{tabular}\\n\\\\end{table}\\n'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "table.style.to_latex(caption='A Table', label='tab:descriptive')"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "82792a7e",
+   "id": "3dfbc077",
    "metadata": {},
    "source": [
     "Or perhaps you have a regression table, for example"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "bcc9b1b9",
+   "execution_count": null,
+   "id": "a78e4cdb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table style=\"text-align:center\"><tr><td colspan=\"3\" style=\"border-bottom: 1px solid black\"></td></tr>\n",
-       "<tr><td style=\"text-align:left\"></td><td colspan=\"2\"><em>Dependent variable: target</em></td></tr><tr><td style=\"text-align:left\"></td><tr><td style=\"text-align:left\"></td><td>(1)</td><td>(2)</td></tr>\n",
-       "<tr><td colspan=\"3\" style=\"border-bottom: 1px solid black\"></td></tr>\n",
-       "\n",
-       "<tr><td style=\"text-align:left\">ABP</td><td>416.673<sup>***</sup></td><td>397.581<sup>***</sup></td></tr>\n",
-       "<tr><td style=\"text-align:left\"></td><td>(69.495)</td><td>(70.870)</td></tr>\n",
-       "<tr><td style=\"text-align:left\">Age</td><td>37.241<sup></sup></td><td>24.703<sup></sup></td></tr>\n",
-       "<tr><td style=\"text-align:left\"></td><td>(64.117)</td><td>(65.411)</td></tr>\n",
-       "<tr><td style=\"text-align:left\">BMI</td><td>787.182<sup>***</sup></td><td>789.744<sup>***</sup></td></tr>\n",
-       "<tr><td style=\"text-align:left\"></td><td>(65.424)</td><td>(66.887)</td></tr>\n",
-       "<tr><td style=\"text-align:left\">Intercept</td><td>152.133<sup>***</sup></td><td>152.133<sup>***</sup></td></tr>\n",
-       "<tr><td style=\"text-align:left\"></td><td>(2.853)</td><td>(2.853)</td></tr>\n",
-       "<tr><td style=\"text-align:left\">S1</td><td></td><td>197.848<sup></sup></td></tr>\n",
-       "<tr><td style=\"text-align:left\"></td><td></td><td>(143.812)</td></tr>\n",
-       "<tr><td style=\"text-align:left\">S2</td><td></td><td>-169.243<sup></sup></td></tr>\n",
-       "<tr><td style=\"text-align:left\"></td><td></td><td>(142.744)</td></tr>\n",
-       "<tr><td style=\"text-align:left\">Sex</td><td>-106.576<sup>*</sup></td><td>-82.862<sup></sup></td></tr>\n",
-       "<tr><td style=\"text-align:left\"></td><td>(62.125)</td><td>(64.851)</td></tr>\n",
-       "\n",
-       "<td colspan=\"3\" style=\"border-bottom: 1px solid black\"></td></tr>\n",
-       "<tr><td style=\"text-align: left\">Observations</td><td>442</td><td>442</td></tr><tr><td style=\"text-align: left\">R<sup>2</sup></td><td>0.400</td><td>0.403</td></tr><tr><td style=\"text-align: left\">Adjusted R<sup>2</sup></td><td>0.395</td><td>0.395</td></tr><tr><td style=\"text-align: left\">Residual Std. Error</td><td>59.976 (df=437)</td><td>59.982 (df=435)</td></tr><tr><td style=\"text-align: left\">F Statistic</td><td>72.913<sup>***</sup> (df=4; 437)</td><td>48.915<sup>***</sup> (df=6; 435)</td></tr>\n",
-       "<tr><td colspan=\"3\" style=\"border-bottom: 1px solid black\"></td></tr><tr><td style=\"text-align: left\">Note:</td><td colspan=\"2\" style=\"text-align: right\"><sup>*</sup>p&lt;0.1; <sup>**</sup>p&lt;0.05; <sup>***</sup>p&lt;0.01</td></tr></table>"
-      ],
-      "text/plain": [
-       "<stargazer.stargazer.Stargazer at 0x16477f9a0>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "from sklearn import datasets\n",
@@ -245,7 +142,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5cbd52db",
+   "id": "a888db4f",
    "metadata": {},
    "source": [
     "which can similarly be cast into $\\LaTeX$ using `reg_results.render_latex()`.\n",
@@ -421,18 +318,6 @@
    "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": "3.10.13"
-  },
   "source_map": [
    14,
    83,

_sources/code-best-practice.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "d71139c6",
+   "id": "0dde4ef4",
    "metadata": {},
    "source": [
     "(code-best-practice)=\n",
@@ -296,45 +296,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "fc8c0cbb",
+   "execution_count": null,
+   "id": "30829869",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The Zen of Python, by Tim Peters\n",
-      "\n",
-      "Beautiful is better than ugly.\n",
-      "Explicit is better than implicit.\n",
-      "Simple is better than complex.\n",
-      "Complex is better than complicated.\n",
-      "Flat is better than nested.\n",
-      "Sparse is better than dense.\n",
-      "Readability counts.\n",
-      "Special cases aren't special enough to break the rules.\n",
-      "Although practicality beats purity.\n",
-      "Errors should never pass silently.\n",
-      "Unless explicitly silenced.\n",
-      "In the face of ambiguity, refuse the temptation to guess.\n",
-      "There should be one-- and preferably only one --obvious way to do it.\n",
-      "Although that way may not be obvious at first unless you're Dutch.\n",
-      "Now is better than never.\n",
-      "Although never is often better than *right* now.\n",
-      "If the implementation is hard to explain, it's a bad idea.\n",
-      "If the implementation is easy to explain, it may be a good idea.\n",
-      "Namespaces are one honking great idea -- let's do more of those!\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import this"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "1e8cfc79",
+   "id": "28364c1c",
    "metadata": {},
    "source": [
     "## Advanced Coding Tips\n",
@@ -417,18 +389,6 @@
    "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": "3.10.13"
-  },
   "source_map": [
    14,
    303,

_sources/code-preliminaries.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "72769ddf",
+   "id": "22b82598",
    "metadata": {},
    "source": [
     "(code-preliminaries)=\n",
@@ -52,22 +52,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "49255628",
+   "execution_count": null,
+   "id": "8d278d09",
    "metadata": {
     "tags": [
      "remove-input"
     ]
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Compiled with Python version: 3.10.13 | packaged by conda-forge | (main, Dec 23 2023, 15:35:25) [Clang 16.0.6 ]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import sys\n",
     "\n",
@@ -76,7 +68,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8636742c",
+   "id": "bebb8571",
    "metadata": {},
    "source": [
     "### An Integrated Development Environment, or IDE\n",
@@ -357,18 +349,6 @@
    "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": "3.10.13"
-  },
   "source_map": [
    14,
    59,

_sources/coming-from-stata.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "f3c0c4ab",
+   "id": "88640f7e",
    "metadata": {},
    "source": [
     "# Coming from Stata\n",