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‎docs/installing_R.ipynb‎

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" Le volume dans le lecteur D s'appelle DATA\n",
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" Le num‚ro de s‚rie du volume est 10BD-2ADB\n",
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"\n",
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" R‚pertoire de D:\\WinPython\\basedir34\\build\\winpython-3.4.4.amd64\\tools\n",
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" R‚pertoire de D:\\result_tests\\winpython-3.5.1.amd64\\tools\n",
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"\n",
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"01/01/2016 16:11 65ÿ380ÿ480 R-3.2.3-win.exe\n",
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"03/01/2016 12:19 65ÿ380ÿ480 R-3.2.3-win.exe\n",
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" 1 fichier(s) 65ÿ380ÿ480 octets\n",
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" 0 R‚p(s) 134ÿ347ÿ685ÿ888 octets libres\n"
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" 0 R‚p(s) 133ÿ833ÿ940ÿ992 octets libres\n"
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]
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"text": [
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" MD5 SHA-1 \n",
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"-------------------------------- ----------------------------------------\n",
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"5572ce407831ce9156485d4f896ad616 b86077268e4aa5498482f4514202009009ddf947 D:\\WinPython\\basedir34\\build\\winpython-3.4.4.amd64\\python-3.4.4.amd64\\..\\tools\\R-3.2.3-win.exe\n"
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"5572ce407831ce9156485d4f896ad616 b86077268e4aa5498482f4514202009009ddf947 D:\\result_tests\\winpython-3.5.1.amd64\\python-3.5.1.amd64\\..\\tools\\R-3.2.3-win.exe\n"
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"# let's create a R init script\n",
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"# in manual command line, you can use repos = c('http://irkernel.github.io/', getOption('repos'))\n",
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"r_initialization = r\"\"\"\n",
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"install.packages(c('rzmq','repr','IRkernel','IRdisplay'), repos = c('http://irkernel.github.io/', repos=\"http://cran.rstudio.com/\"))\n",
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"library('rzmq');library('repr');library('IRkernel');library('IRdisplay')\n",
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"install.packages(c('rzmq','repr','IRkernel','IRdisplay'), repos = c('http://irkernel.github.io/', repos='http://cran.rstudio.com/'))\n",
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"library('rzmq')\n",
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"library('repr')\n",
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"library('IRkernel')\n",
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"library('IRdisplay')\n",
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"IRkernel::installspec()\n",
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"\"\"\"\n",
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"r_initialization_r = os.path.normpath(os.environ[\"WINPYDIR\"]+\"\\\\..\\\\scripts\\\\R_initialization.r\")\n",
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"name": "stdout",
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"text": [
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"patching D:\\WinPython\\basedir34\\build\\winpython-3.4.4.amd64\\settings\\kernels\\ir\\kernel.json from D:/WinPython/basedir34/build/winpython-3.4.4.amd64 to {prefix}/..\n",
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"None\n"
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"patching D:\\result_tests\\winpython-3.5.1.amd64\\settings\\kernels\\ir\\kernel.json from D:/result_tests/winpython-3.5.1.amd64 to {prefix}/..\n"
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"\n",
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"#vitals: 'dplyr', 'R.utils', 'nycflights13'\n",
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"# installation takes 2 minutes\n",
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"%R install.packages(c('dplyr','R.utils', 'nycflights13'), repos='http://cran.rstudio.com/') \n",
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"\n",
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"# essentials: 'tidyr', 'shiny', 'ggplot2', 'caret' , 'nnet' \n",
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"#%R install.packages(c('tidyr', 'ggplot2', 'shiny','caret' , 'nnet'), repos='https://cran.rstudio.com/') \n"
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"%R install.packages(c('dplyr','R.utils', 'nycflights13'), repos='http://cran.rstudio.com/') "
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"outputs": [],
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"source": [
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"%%R\n",
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"library('dplyr')\n",
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"library('nycflights13') "
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"library('nycflights13') \n",
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"write.csv(flights, \"flights.csv\")"
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]
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"6 1696 EWR ORD 150 719 5 54 "
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]
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"6 IAD "
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]
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"cell_type": "markdown",
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"source": [
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"### 5 - Relaunch Jupyter Notebook to get a R kernel option\n",
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"### 5 - Installing the very best of R pakages (optional, you will start to get a really big directory)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# essentials: 'tidyr', 'shiny', 'ggplot2', 'caret' , 'nnet' \n",
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"# remaining of Hadley Wickahm \"stack\" (https://github.com/rstudio)\n",
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"%R install.packages(c('tidyr', 'ggplot2', 'shiny','caret' , 'nnet'), repos='https://cran.rstudio.com/') \n",
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"%R install.packages(c('knitr', 'purrr', 'readr', 'readxl'), repos='https://cran.rstudio.com/')\n",
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"%R install.packages(c('rvest', 'lubridate', 'ggvis'), repos='https://cran.rstudio.com/')\n",
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"\n",
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"# TRAINING = online training book http://r4ds.had.co.nz/ (or https://github.com/hadley/r4ds)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 6 - Relaunch Jupyter Notebook to get a R kernel option\n",
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"launch a new notebook of \"R\" type, and type in it:\n",
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" \n",
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"library('dplyr')\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.4.4"
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"version": "3.5.1"
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}
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},
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"nbformat": 4,

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