{"nbformat": 4, "cells": [{"execution_count": null, "source": "# This R environment comes with all of CRAN preinstalled, as well as many other helpful packages\n# The environment is defined by the kaggle/rstats docker image: https://github.com/kaggle/docker-rstats\n# For example, here's several helpful packages to load in \n\nlibrary(ggplot2) # Data visualization\nlibrary(readr) # CSV file I/O, e.g. the read_csv function\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nsystem(\"ls ../input\")\n\n# Any results you write to the current directory are saved as output.\n\nplot(1:10, 1:10)", "cell_type": "code", "outputs": [], "metadata": {"trusted": true, "_cell_guid": "48ab9a07-83b6-3b11-80aa-5fd41d17efc9", "_uuid": "f839c7eab3fa54b0b5f7bc8ff9d605fd571193d0"}}, {"execution_count": null, "source": "plot(1:10, 1:10)", "cell_type": "code", "outputs": [], "metadata": {"trusted": true, "_cell_guid": "bace0229-f2e9-4dde-9594-033c29b3c92e", "_uuid": "6461fcab684425cfbc0841e7a2dca24041f9ed1d"}}, {"source": "\n\nxx = data.frame(x=1:10, y=1:10)\n\nggplot(xx, aes(x,y)) + \n    geom_point()\n", "metadata": {"_cell_guid": "5defadcc-a8f2-8f26-0d36-104066c643bf", "_uuid": "e7436a734d867483ac940dab7f29623ee72c2e7e"}, "cell_type": "markdown"}], "nbformat_minor": 1, "metadata": {"kernelspec": {"display_name": "R", "language": "R", "name": "ir"}, "language_info": {"codemirror_mode": "r", "pygments_lexer": "r", "name": "R", "mimetype": "text/x-r-source", "version": "3.3.3", "file_extension": ".r"}, "_is_fork": false, "_change_revision": 0}}