{
  "metadata": {
    "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": "3.3.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0,
  "cells": [
    {
      "metadata": {
        "_cell_guid": "550db1f7-0a7f-bfe7-9e89-8d5214e1aec4",
        "_active": false,
        "collapsed": false
      },
      "source": "blahblah",
      "execution_count": null,
      "cell_type": "markdown",
      "outputs": []
    },
    {
      "metadata": {
        "_cell_guid": "c61128af-fdd7-56e8-0160-13316ea33f11",
        "_active": false,
        "collapsed": false
      },
      "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\nlibrary(data.table)\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\n#print(system(\"ls ../input\"))\nlist.files(\"../input/Train\")\nlist.dirs(\"../\")\ntrain = fread(\"../input/Train/train.csv\")\nhead(train)\n\nwrite.csv(train, \"train-noaa.csv\", row.names = FALSE, quote = FALSE)\n# Any results you write to the current directory are saved as output.",
      "execution_count": 15,
      "cell_type": "code",
      "outputs": [],
      "execution_state": "idle"
    },
    {
      "metadata": {
        "_cell_guid": "c99425e5-0e32-4271-1950-82abcc0f3b07",
        "_active": true,
        "collapsed": false
      },
      "source": "list.files(\"../working\")",
      "execution_count": 16,
      "cell_type": "code",
      "outputs": [],
      "execution_state": "busy"
    }
  ]
}