Added missing file, cleared output
[ou-jupyter-r-demo.git] / section5.1solutions.ipynb
index 614f03e2764bd508d912bc48bfd6ece16cdc151d..1858975e99e073e13c51d6de4032e599c4252192 100644 (file)
@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "anova(fit.tats)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ggplotRegression(fit.tats)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table>\n",
-       "<thead><tr><th scope=col>Vars</th><th scope=col>Adj.R.2</th></tr></thead>\n",
-       "<tbody>\n",
-       "\t<tr><td>TA       </td><td>0.4915797</td></tr>\n",
-       "\t<tr><td>TS       </td><td>0.6359290</td></tr>\n",
-       "\t<tr><td>TA, TS   </td><td>0.9744140</td></tr>\n",
-       "</tbody>\n",
-       "</table>\n"
-      ],
-      "text/latex": [
-       "\\begin{tabular}{r|ll}\n",
-       " Vars & Adj.R.2\\\\\n",
-       "\\hline\n",
-       "\t TA        & 0.4915797\\\\\n",
-       "\t TS        & 0.6359290\\\\\n",
-       "\t TA, TS    & 0.9744140\\\\\n",
-       "\\end{tabular}\n"
-      ],
-      "text/markdown": [
-       "\n",
-       "Vars | Adj.R.2 | \n",
-       "|---|---|---|\n",
-       "| TA        | 0.4915797 | \n",
-       "| TS        | 0.6359290 | \n",
-       "| TA, TS    | 0.9744140 | \n",
-       "\n",
-       "\n"
-      ],
-      "text/plain": [
-       "  Vars   Adj.R.2  \n",
-       "1 TA     0.4915797\n",
-       "2 TS     0.6359290\n",
-       "3 TA, TS 0.9744140"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "fits <- list(fit.ta, fit.ts, fit.tats)\n",
     "data.frame(\n",
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "fit <- lm(ventil ~ oxygen, data = anaerobic)\n",
-    "summary(fit)\n",
-    "anova(fit)"
+    "fit.o <- lm(ventil ~ oxygen, data = anaerobic)\n",
+    "summary(fit.o)\n",
+    "anova(fit.o)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "ggplotRegression(fit)"
+    "ggplotRegression(fit.o)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "autoplot(fit)"
+    "autoplot(fit.o)"
    ]
   },
   {
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "fit <- lm(ventil ~ oxygen + oxy2, data = anaerobic)\n",
-    "summary(fit)\n",
-    "anova(fit)"
+    "fit.o2 <- lm(ventil ~ oxygen + oxy2, data = anaerobic)\n",
+    "summary(fit.o2)\n",
+    "anova(fit.o2)"
    ]
   },
   {
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "ggplotRegression(fit)"
+    "ggplotRegression(fit.o2)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "autoplot(fit)"
+    "autoplot(fit.o2)"
    ]
   },
   {