{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#　在 Jupyter (IPython) 中用 R" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. 讓 IPython 可以和 R 溝通\n", "\n", "先期準備\n", "\n", "* 要安裝好 R (當然)\n", "* 要有 ryp2 套件 (我是用 pip install)\n", "\n", "###[注意]\n", "\n", "很多人都是寫\n", "\n", " %load_ext rmagic\n", "\n", "但新版 ryp2 已改成:\n", "\n", " %load_ext rpy2.ipython" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%load_ext rpy2.ipython" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. 直接來一段 R\n", "\n", "如果用 %%R, 那整個 cell 都給 R 了!\n", "\n", "以下的一小段是從 Code School 的 R 教學來的, 有興趣學 R 的可以多加例用, 很快上手!\n", "\n", "[Try R](http://tryr.codeschool.com)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": [ "iVBORw0KGgoAAAANSUhEUgAAAeAAAAHgCAYAAAB91L6VAAAD8GlDQ1BJQ0MgUHJvZmlsZQAAOI2N\n", 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"JFA7AQVw7V1gBSQgAQlIoIkEFMBN7HXbLAEJSEACtRP4/7bkoKgjS+LgAAAAAElFTkSuQmCC\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%R\n", "A <- matrix(1, 15, 15)\n", "A[4,7] <- 0\n", "persp(A, expand=0.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##3. 只有一小段給 R\n", "\n", "如果用 %%R 是整個 cell 給 R。但只有一句話要給 R, 我們可以用 %R。" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[1] \"Hi from R\"\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Hi from Python\n" ] } ], "source": [ "%R print(\"Hi from R\")\n", "print(\"Hi from Python\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##4. 從 R 要資料" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "本來 Python 是沒有 A 的。" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "ename": "NameError", "evalue": "name 'A' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mA\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mNameError\u001b[0m: name 'A' is not defined" ] } ], "source": [ "A" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "向 R 要 A!!" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%R -o A" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "\n", "[1.000000, 1.000000, 1.000000, ..., 1.000000, 1.000000, 1.000000]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "A" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "\n", "[ 15, 15]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "A.dim" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "很容易轉成 numpy 的 array, 形式保留。" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from numpy import array" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [], "source": [ "A = array(A)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(15, 15)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "A.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##5. 從 Python 送資料給 R" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from numpy import linspace, sin" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "outputs": [], "source": [ "x = linspace(0, 10 , 100)\n", "y = sin(x) + 0.5*x" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%R -i x" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%R -i y" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": [ "iVBORw0KGgoAAAANSUhEUgAAAeAAAAHgCAYAAAB91L6VAAAD8GlDQ1BJQ0MgUHJvZmlsZQAAOI2N\n", "Vd1v21QUP4lvXKQWP6Cxjg4Vi69VU1u5GxqtxgZJk6XpQhq5zdgqpMl1bhpT1za2021Vn/YCbwz4\n", "A4CyBx6QeEIaDMT2su0BtElTQRXVJKQ9dNpAaJP2gqpwrq9Tu13GuJGvfznndz7v0TVAx1ea45hJ\n", "GWDe8l01n5GPn5iWO1YhCc9BJ/RAp6Z7TrpcLgIuxoVH1sNfIcHeNwfa6/9zdVappwMknkJsVz19\n", "HvFpgJSpO64PIN5G+fAp30Hc8TziHS4miFhheJbjLMMzHB8POFPqKGKWi6TXtSriJcT9MzH5bAzz\n", 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