genkuroki/Test of R in Jupyter.ipynb

## Test of R in Jupyter.ipynb
{
  "cells": [
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "library(\"ggplot2\")",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "str(iris)",
      "execution_count": 2,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "'data.frame':\t150 obs. of  5 variables:\n $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...\n $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...\n $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...\n $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...\n $ Species     : Factor w/ 3 levels \"setosa\",\"versicolor\",..: 1 1 1 1 1 1 1 1 1 1 ...\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "p <- ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width))\np + geom_point(colour=\"gray50\", size=3) + geom_point(aes(colour=Species))",
      "execution_count": 3,
      "outputs": [
        {
          "data": {},
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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r3uhou/++6x9VckFWk1PW45jiIdz02uUKR+OOv993iyofWXJNzq+OGWI7eXadrZ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\n",
            "text/plain": "plot without title"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "p <- ggplot(iris, aes(x=Sepal.Length))\np + geom_histogram(aes(colour=Species),bins=30)",
      "execution_count": 4,
      "outputs": [
        {
          "data": {},
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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s6qQSTnYIi0fZais2oQyTkYIm2fpeis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\nhT8wYj1IAAAAAElFTkSuQmCC",
            "text/plain": "plot without title"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "p + geom_histogram(aes(fill=Species),bins=30)",
      "execution_count": 5,
      "outputs": [
        {
          "data": {},
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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            "text/plain": "plot without title"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "gist": {
      "id": "",
      "data": {
        "description": "Test of R in Jupyter.ipynb",
        "public": true
      }
    },
    "kernelspec": {
      "name": "ir",
      "display_name": "R",
      "language": "R"
    },
    "language_info": {
      "name": "R",
      "codemirror_mode": "r",
      "pygments_lexer": "r",
      "mimetype": "text/x-r-source",
      "file_extension": ".r",
      "version": "3.4.1"
    },
    "toc": {
      "threshold": 4,
      "number_sections": true,
      "toc_cell": false,
      "toc_window_display": false,
      "toc_section_display": "block",
      "sideBar": true,
      "navigate_menu": true,
      "moveMenuLeft": true,
      "widenNotebook": false,
      "colors": {
        "hover_highlight": "#DAA520",
        "selected_highlight": "#FFD700",
        "running_highlight": "#FF0000",
        "wrapper_background": "#FFFFFF",
        "sidebar_border": "#EEEEEE",
        "navigate_text": "#333333",
        "navigate_num": "#000000"
      },
      "nav_menu": {
        "height": "12px",
        "width": "252px"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}