JupyterIntro/Demo_2_rnb_walkthrough.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing the data..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'data.frame':\t150 obs. of  5 variables:\n",
      " $ Sepal.Length: num  5.1 4.9 ...\n",
      " $ Sepal.Width : num  3.5 3 ...\n",
      " $ Petal.Length: num  1.4 1.4 ...\n",
      " $ Petal.Width : num  0.2 0.2 ...\n",
      " $ Species     : Factor w/ 3 levels \"setosa\",\"versicolor\",..: 1 1 ...\n"
     ]
    }
   ],
   "source": [
    "str(iris, vec.len=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  Sepal.Length    Sepal.Width     Petal.Length    Petal.Width   \n",
       " Min.   :4.300   Min.   :2.000   Min.   :1.000   Min.   :0.100  \n",
       " 1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600   1st Qu.:0.300  \n",
       " Median :5.800   Median :3.000   Median :4.350   Median :1.300  \n",
       " Mean   :5.843   Mean   :3.057   Mean   :3.758   Mean   :1.199  \n",
       " 3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100   3rd Qu.:1.800  \n",
       " Max.   :7.900   Max.   :4.400   Max.   :6.900   Max.   :2.500  \n",
       "       Species  \n",
       " setosa    :50  \n",
       " versicolor:50  \n",
       " virginica :50  \n",
       "                \n",
       "                \n",
       "                "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(iris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Sepal.Length</th><th scope=col>Sepal.Width</th><th scope=col>Petal.Length</th><th scope=col>Petal.Width</th><th scope=col>Species</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>5.1   </td><td>3.5   </td><td>1.4   </td><td>0.2   </td><td>setosa</td></tr>\n",
       "\t<tr><td>4.9   </td><td>3.0   </td><td>1.4   </td><td>0.2   </td><td>setosa</td></tr>\n",
       "\t<tr><td>4.7   </td><td>3.2   </td><td>1.3   </td><td>0.2   </td><td>setosa</td></tr>\n",
       "\t<tr><td>4.6   </td><td>3.1   </td><td>1.5   </td><td>0.2   </td><td>setosa</td></tr>\n",
       "\t<tr><td>5.0   </td><td>3.6   </td><td>1.4   </td><td>0.2   </td><td>setosa</td></tr>\n",
       "\t<tr><td>5.4   </td><td>3.9   </td><td>1.7   </td><td>0.4   </td><td>setosa</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllll}\n",
       " Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & Species\\\\\n",
       "\\hline\n",
       "\t 5.1    & 3.5    & 1.4    & 0.2    & setosa\\\\\n",
       "\t 4.9    & 3.0    & 1.4    & 0.2    & setosa\\\\\n",
       "\t 4.7    & 3.2    & 1.3    & 0.2    & setosa\\\\\n",
       "\t 4.6    & 3.1    & 1.5    & 0.2    & setosa\\\\\n",
       "\t 5.0    & 3.6    & 1.4    & 0.2    & setosa\\\\\n",
       "\t 5.4    & 3.9    & 1.7    & 0.4    & setosa\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "  Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n",
       "1 5.1          3.5         1.4          0.2         setosa \n",
       "2 4.9          3.0         1.4          0.2         setosa \n",
       "3 4.7          3.2         1.3          0.2         setosa \n",
       "4 4.6          3.1         1.5          0.2         setosa \n",
       "5 5.0          3.6         1.4          0.2         setosa \n",
       "6 5.4          3.9         1.7          0.4         setosa "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(iris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bhQY/XT1iCk4+VBx0nm0U9rOB+CCCG1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\nYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(iris$Petal.Width,pch=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message in plot.window(xlim, ylim, \"\", ...):\n",
      "\"\"x.lab\" is not a graphical parameter\"Warning message in title(main = main, sub = sub, xlab = xlab, ylab = ylab, ...):\n",
      "\"\"x.lab\" is not a graphical parameter\"Warning message in axis(1, ...):\n",
      "\"\"x.lab\" is not a graphical parameter\"Warning message in axis(2, ...):\n",
      "\"\"x.lab\" is not a graphical parameter\""
     ]
    },
    {
     "data": {
      "image/png": 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hTt30fIfe4tIq0EkQwwuI5U7YxO3TmE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\nBPgf0ePidpFNwA0AAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title \"Histogram of iris$Petal.Width\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist(iris$Petal.Width,x.lab=\"petal width\", col=\"lightblue\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(iris,col=c(\"blue\",\"red\",\"sienna\",\"palevioletred1\",\"blue\"),ylab=\"Centimeters\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>iris.Sepal.Length</th><th scope=col>iris.Sepal.Width</th><th scope=col>iris.Petal.Length</th><th scope=col>iris.Petal.Width</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>iris.Sepal.Length</th><td> 1.0000000</td><td>-0.1175698</td><td> 0.8717538</td><td> 0.8179411</td></tr>\n",
       "\t<tr><th scope=row>iris.Sepal.Width</th><td>-0.1175698</td><td> 1.0000000</td><td>-0.4284401</td><td>-0.3661259</td></tr>\n",
       "\t<tr><th scope=row>iris.Petal.Length</th><td> 0.8717538</td><td>-0.4284401</td><td> 1.0000000</td><td> 0.9628654</td></tr>\n",
       "\t<tr><th scope=row>iris.Petal.Width</th><td> 0.8179411</td><td>-0.3661259</td><td> 0.9628654</td><td> 1.0000000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llll}\n",
       "  & iris.Sepal.Length & iris.Sepal.Width & iris.Petal.Length & iris.Petal.Width\\\\\n",
       "\\hline\n",
       "\tiris.Sepal.Length &  1.0000000 & -0.1175698 &  0.8717538 &  0.8179411\\\\\n",
       "\tiris.Sepal.Width & -0.1175698 &  1.0000000 & -0.4284401 & -0.3661259\\\\\n",
       "\tiris.Petal.Length &  0.8717538 & -0.4284401 &  1.0000000 &  0.9628654\\\\\n",
       "\tiris.Petal.Width &  0.8179411 & -0.3661259 &  0.9628654 &  1.0000000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "1. 1\n",
       "2. -0.117569784133002\n",
       "3. 0.871753775886583\n",
       "4. 0.817941126271576\n",
       "5. -0.117569784133002\n",
       "6. 1\n",
       "7. -0.42844010433054\n",
       "8. -0.366125932536439\n",
       "9. 0.871753775886583\n",
       "10. -0.42844010433054\n",
       "11. 1\n",
       "12. 0.962865431402796\n",
       "13. 0.817941126271576\n",
       "14. -0.366125932536439\n",
       "15. 0.962865431402796\n",
       "16. 1\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "                  iris.Sepal.Length iris.Sepal.Width iris.Petal.Length\n",
       "iris.Sepal.Length  1.0000000        -0.1175698        0.8717538       \n",
       "iris.Sepal.Width  -0.1175698         1.0000000       -0.4284401       \n",
       "iris.Petal.Length  0.8717538        -0.4284401        1.0000000       \n",
       "iris.Petal.Width   0.8179411        -0.3661259        0.9628654       \n",
       "                  iris.Petal.Width\n",
       "iris.Sepal.Length  0.8179411      \n",
       "iris.Sepal.Width  -0.3661259      \n",
       "iris.Petal.Length  0.9628654      \n",
       "iris.Petal.Width   1.0000000      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "myiris <- \n",
    "  data.frame(iris$Sepal.Length,iris$Sepal.Width,\n",
    "             iris$Petal.Length,iris$Petal.Width)\n",
    "\n",
    "d <- data.frame(myiris)\n",
    "dcor <- as.matrix(cor(d))\n",
    "dcor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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TucQQK7drM0EroOJGn9oHftQoOsPAamFHwg5edxWs39cquKfRNMbFWBv4/J7QSS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wdIYgpSWc0tsEPBUXjWLhRQeUEKenEP/RyQKDiKAsma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\nbxisAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "library(psych)\n",
    "pairs.panels(iris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.3.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}