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<!DOCTYPE html>
<html>
<head>
<title>R 語言概論</title>
<meta charset="utf-8">
<meta name="description" content="R 語言概論">
<meta name="author" content="Wush Wu">
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<script data-main="libraries/frameworks/io2012-wush/js/slides"
src="libraries/frameworks/io2012-wush/js/require-1.0.8.min.js">
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</head>
<body style="opacity: 0">
<slides class="layout-widescreen">
<!-- LOGO SLIDE -->
<slide class="title-slide segue nobackground">
<hgroup class="auto-fadein">
<h1>R 語言概論</h1>
<h2></h2>
<p>Wush Wu<br/>國立台灣大學</p>
</hgroup>
<article></article>
</slide>
<!-- SLIDES -->
<slide class="largecontent" id="slide-1" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
</hgroup>
<article class = 'flexbox vcenter'>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-2" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>Wush Wu</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li><p>學經歷</p>
<ul>
<li>國立台灣大學電機工程學研究所博士生</li>
<li>宇匯知識科技資料科學家</li>
<li>Taiwan R User Group 共同創辦人</li>
</ul></li>
<li><p>著作：</p>
<ul>
<li>Wush Chi Hsuan Wu, Mi-Yen Yeh and Ming-Syan Chen: Predicting Winning Price in Real Time Bidding with Censored Data. KDD 2015.</li>
<li>以下R 套件的共同作者、貢獻者：digest, knitr, FeatureHashing...</li>
</ul></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-3" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>R Basic 系列課程目標</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>了解R 語言的基礎</li>
<li>能利用R 語言進行資料的ETL</li>
<li>善用R 強大的資料視覺化功能</li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-4" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>課程進行方式</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>利用投影片講解R 的各種工具的設計理念與範例</li>
<li>直接利用R 學R 語法，完成指定作業</li>
<li>歡迎各種Feedback: <a href="https://github.com/wush978/DataScienceAndR/issues">https://github.com/wush978/DataScienceAndR/issues</a></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-5" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>本次課程目錄</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>R 簡介</li>
<li>R 的傳統用途</li>
<li>來自R 社群的貢獻</li>
<li>近代R 的演變</li>
<li>安裝R 與Rstudio</li>
<li>R 的開發環境簡介</li>
<li>R 的套件系統</li>
<li>利用swirl 快速學習R 語言</li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="dark segue" id="slide-6" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;">
<hgroup>
<h2>R 簡介</h2>
</hgroup>
<article data-timings="">
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-7" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>R 來自世界上最專業的統計學家</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<p><center><img src='assets/img/statician_10521919-655x280.jpg' style='max-width: 100%;max-height: 100%'></img></center></p>
<p>取自 <a href="http://myfootpath.com/careers/engineering-careers/statistician-careers/">http://myfootpath.com/careers/engineering-careers/statistician-careers/</a></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-8" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;">
<hgroup>
<h2>R 可以輸出高品質的視覺化</h2>
</hgroup>
<article data-timings="">
<p><center><img src='assets/img/flights_sml.jpg' style='max-width: 100%;max-height: 100%'></img></center></p>
<p>取自 <a href="http://www.r-bloggers.com/mapping-the-worlds-biggest-airlines/">http://www.r-bloggers.com/mapping-the-worlds-biggest-airlines/</a></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-9" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>R 有驚人彈性和潛力</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<p><center><img src='assets/img/fig_10_cran1.png' style='max-width: 75%;max-height: 75%'></img></center></p>
<p>取自 <a href="http://r4stats.com/2013/03/19/r-2012-growth-exceeds-sas-all-time-total/">http://r4stats.com/2013/03/19/r-2012-growth-exceeds-sas-all-time-total/</a></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-10" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>R 很容易和其他工具整合</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<p><center>
<img src="./assets/fig/rbasic-introduction-r-integration-1.png" alt="plot of chunk r-integration">
</center></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-11" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>R 很容易擴充和客製化</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<p><center><img src='assets/img/t134_3ca_lg.jpg' style='max-width: 100%;max-height: 100%'></img></center>
取自 <a href="http://img.diynetwork.com/DIY/2003/09/18/t134_3ca_med.jpg">http://img.diynetwork.com/DIY/2003/09/18/t134_3ca_med.jpg</a></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-12" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>和其他工具相比，R 的特色</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>R 有非常先進的數據視覺化系統</li>
<li>R 有很多的進階數據分析工具</li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="dark segue" id="slide-13" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;">
<hgroup>
<h2>R 的傳統用途</h2>
</hgroup>
<article data-timings="">
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-14" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 探索數據的分佈</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>統計很多理論都需要常態分佈</li>
<li>但是一組數據真的是常態分佈嗎？</li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-15" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 探索數據的分佈</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>一行指令就可以畫圖：<code>plot(density(x))</code></li>
</ul>
<p><img src="./assets/fig/rbasic-introduction-ks.test1-1.png" alt="plot of chunk ks.test1"></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-16" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 探索數據的分佈</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>做「是否為常態分佈」的統計檢定？再一行：<code>shaprio.test(x)</code></li>
</ul>
<pre><code>
Shapiro-Wilk normality test
data: x
W = 0.936, p-value = 0.0001108
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-17" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 探索數據的分佈</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>比較兩個數據是不是來自相同的分佈？沒問題</li>
</ul>
<pre><code class="r">plot(density(x1), xlim = range(c(x1, x2)), main = "Sample PDF")
lines(density(x2), col = 2)
legend("topright", c("x1", "x2"), lty = 1, col = 1:2)
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-18" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 探索數據的分佈</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<p><img src="./assets/fig/rbasic-introduction-ks.test3-1.png" alt="plot of chunk ks.test3"></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-19" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 探索數據的分佈</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>檢定？<code>ks.test(x1, x2)</code></li>
</ul>
<pre><code>
Two-sample Kolmogorov-Smirnov test
data: x1 and x2
D = 0.24, p-value = 0.1124
alternative hypothesis: two-sided
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-20" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - A/B 方法比較（常見於電子商務）</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>我們使用有兩套方法做推薦，要比較推薦的成果</li>
<li>方法A：在10000點擊有10個購買</li>
<li>方法B：在5000 點擊有3 個購買</li>
<li>我怎麼知道這兩種方法的轉換率（購買/點擊）是不是明顯不同？</li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-21" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - A/B 方法比較（常見於電子商務）</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>統計檢定的概念：
<ul>
<li>如果方法A 的轉換率和方法B 相同，都是\(3/5000\)</li>
<li>那在10000個點擊裡面，發生10個購買或以上的機率是多少？</li>
</ul></li>
<li>R 非常適合撰寫這類機率性質的模擬：</li>
</ul>
<pre><code class="r"># 假設方法A 真正的轉換率和就是 3 / 5000
p <- 3/5000
# 我們可以模擬1000次在10000個點擊下，方法A 的轉換數
plot(density(x <- rbinom(1000, 10000, p)))
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-22" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - A/B 方法比較（常見於電子商務）</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>結果示意圖</li>
</ul>
<p><img src="./assets/fig/rbasic-introduction-conversion-1.png" alt="plot of chunk conversion"></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-23" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - A/B 方法比較（常見於電子商務）</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>精確的模擬結果：<code>mean(x > 10)</code></li>
</ul>
<pre><code>[1] 0.05
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-24" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - A/B 方法比較（常見於電子商務）</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>想看信賴區間？透過套件，立馬取得結果：</li>
</ul>
<pre><code class="r">library(binom)
binom.confint(c(10, 3), c(10000, 5000), methods = "exact")
</code></pre>
<pre><code> method x n mean lower upper
1 exact 10 10000 1e-03 0.0004796397 0.001838264
2 exact 3 5000 6e-04 0.0001237515 0.001752444
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-25" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - A/B 方法比較（常見於電子商務）</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>太棒了，但是我想用某篇paper的方法。</li>
<li>你可以找找看有沒有你要的方法：</li>
</ul>
<p><center><img src='assets/img/binom-methods.png' style='max-width: 100%;max-height: 100%'></img></center></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="dark segue" id="slide-26" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;">
<hgroup>
<h2>來自R 社群的貢獻</h2>
</hgroup>
<article data-timings="">
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-27" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 相關性</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>R 擁有許多你想像不到的方式來探索數據
<ul>
<li>他們都來自於世界各地的貢獻者</li>
</ul></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-28" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 相關性</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code class="r">suppressPackageStartupMessages(library(PerformanceAnalytics))
chart.Correlation(iris[-5], bg=iris$Species, pch=21)
</code></pre>
<p><img src="./assets/fig/rbasic-introduction-chart.correlation-1.png" alt="plot of chunk chart.correlation"></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-29" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 相關性</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code class="r">round(Ca <- cor(attitude), 2)
symnum(Ca) # simple graphic
heatmap(Ca, symm = TRUE, margins = c(6,6))
</code></pre>
<p><img src="./assets/fig/rbasic-introduction-heatmap-1.png" alt="plot of chunk heatmap"></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-30" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 相關性</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>許多機器學習的方法，會假設數據彼此之間是獨立的
<ul>
<li>R 可以迅速幫你檢驗數據是否是獨立的</li>
</ul></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-31" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>範例 - 相關性</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code class="r">data(edhec)
chart.ACFplus(edhec[,1,drop=FALSE])
</code></pre>
<p><img src="./assets/fig/rbasic-introduction-chart.ACFplus-1.png" alt="plot of chunk chart.ACFplus"></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-32" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;">
<hgroup>
<h2>範例 - 經濟學人風格的視覺化</h2>
</hgroup>
<article data-timings="">
<p><center>
<img src="./assets/fig/rbasic-introduction-ggthemes-1.png" alt="plot of chunk ggthemes">
</center></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="segue dark" id="slide-33" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;">
<hgroup>
<h2>近代R 的演變</h2>
</hgroup>
<article data-timings="">
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-34" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>R 近年的進展</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>收集數據</li>
<li>特定領域的資料分析
<ul>
<li>股票分析</li>
<li>棒球分析</li>
<li>文字探勘</li>
</ul></li>
<li>收集數據、建造模型之餘，還要展現結果
<ul>
<li>互動式網頁服務</li>
<li>API 伺服器</li>
</ul></li>
<li>大規模數據分析</li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-35" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>收集數據</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li><a href="http://chihchengliang.github.io/DSC2015_Crawler/">ChihChengLiang: R Crawler（資料科學愛好者年會2015）</a></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-36" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>和各種資料相關服務的串接</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>任何和資料相關的服務，有很大的機會可以和R 串接
<ul>
<li><a href="https://github.com/jennybc/googlesheets">Google Sheets R API</a></li>
<li><a href="https://cran.r-project.org/package=RgoogleMaps">Google Map</a></li>
<li><a href="https://cran.r-project.org/web/packages/readxl/index.html">Excel</a></li>
<li><a href="https://cran.r-project.org/web/packages/foreign/index.html">Minitab, S, SAS, SPSS, Stata, Systat and Weka...</a></li>
<li><a href="https://cran.r-project.org/web/packages/DBI/index.html">DBI</a></li>
</ul></li>
</ul>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-37" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>特定領域 -- 股票分析</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code class="r">library(quantmod)
getSymbols("^TWII")
head(TWII)
</code></pre>
<p>[1] "TWII"</p>
<table><thead>
<tr>
<th align="right">TWII.Open</th>
<th align="right">TWII.High</th>
<th align="right">TWII.Low</th>
<th align="right">TWII.Close</th>
<th align="right">TWII.Volume</th>
<th align="right">TWII.Adjusted</th>
</tr>
</thead><tbody>
<tr>
<td align="right">7871.41</td>
<td align="right">7937.26</td>
<td align="right">7843.60</td>
<td align="right">7920.80</td>
<td align="right">5710600</td>
<td align="right">7920.788</td>
</tr>
<tr>
<td align="right">7954.96</td>
<td align="right">7999.42</td>
<td align="right">7917.30</td>
<td align="right">7917.30</td>
<td align="right">5951400</td>
<td align="right">7917.288</td>
</tr>
<tr>
<td align="right">7929.89</td>
<td align="right">7955.90</td>
<td align="right">7901.24</td>
<td align="right">7934.51</td>
<td align="right">5717400</td>
<td align="right">7934.498</td>
</tr>
<tr>
<td align="right">7940.20</td>
<td align="right">7942.23</td>
<td align="right">7821.71</td>
<td align="right">7835.57</td>
<td align="right">5181400</td>
<td align="right">7835.558</td>
</tr>
<tr>
<td align="right">7778.57</td>
<td align="right">7797.57</td>
<td align="right">7736.11</td>
<td align="right">7736.71</td>
<td align="right">4292400</td>
<td align="right">7736.698</td>
</tr>
<tr>
<td align="right">7778.38</td>
<td align="right">7827.93</td>
<td align="right">7778.38</td>
<td align="right">7790.01</td>
<td align="right">4516000</td>
<td align="right">7789.998</td>
</tr>
</tbody></table>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-38" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>特定領域 - 股票分析</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code class="r">chartSeries(TWII, subset = "last 4 months", TA = c(addVo(), addBBands()))
</code></pre>
<p><img src="./assets/fig/rbasic-introduction-signal-1.png" alt="plot of chunk signal"></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-39" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>特定領域 - 棒球分析</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code class="r">library(Lahman)
head(Teams[,c("yearID", "name", "Rank", "W", "L", "R", "RA")])
</code></pre>
<table><thead>
<tr>
<th align="right">yearID</th>
<th align="left">name</th>
<th align="right">Rank</th>
<th align="right">W</th>
<th align="right">L</th>
<th align="right">R</th>
<th align="right">RA</th>
</tr>
</thead><tbody>
<tr>
<td align="right">1871</td>
<td align="left">Boston Red Stockings</td>
<td align="right">3</td>
<td align="right">20</td>
<td align="right">10</td>
<td align="right">401</td>
<td align="right">303</td>
</tr>
<tr>
<td align="right">1871</td>
<td align="left">Chicago White Stockings</td>
<td align="right">2</td>
<td align="right">19</td>
<td align="right">9</td>
<td align="right">302</td>
<td align="right">241</td>
</tr>
<tr>
<td align="right">1871</td>
<td align="left">Cleveland Forest Citys</td>
<td align="right">8</td>
<td align="right">10</td>
<td align="right">19</td>
<td align="right">249</td>
<td align="right">341</td>
</tr>
<tr>
<td align="right">1871</td>
<td align="left">Fort Wayne Kekiongas</td>
<td align="right">7</td>
<td align="right">7</td>
<td align="right">12</td>
<td align="right">137</td>
<td align="right">243</td>
</tr>
<tr>
<td align="right">1871</td>
<td align="left">New York Mutuals</td>
<td align="right">5</td>
<td align="right">16</td>
<td align="right">17</td>
<td align="right">302</td>
<td align="right">313</td>
</tr>
<tr>
<td align="right">1871</td>
<td align="left">Philadelphia Athletics</td>
<td align="right">1</td>
<td align="right">21</td>
<td align="right">7</td>
<td align="right">376</td>
<td align="right">266</td>
</tr>
</tbody></table>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-40" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;">
<hgroup>
<h2>特定領域 - 大聯盟歷年得分</h2>
</hgroup>
<article data-timings="">
<p><center>
<img src="./assets/fig/rbasic-introduction-baseball-1.png" alt="plot of chunk baseball">
</center></p>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-41" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>特定領域 - 王建民歷年成績</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<table><thead>
<tr>
<th align="left">playerID</th>
<th align="right">yearID</th>
<th align="right">W</th>
<th align="right">L</th>
<th align="right">ERA</th>
</tr>
</thead><tbody>
<tr>
<td align="left">wangch01</td>
<td align="right">2005</td>
<td align="right">8</td>
<td align="right">5</td>
<td align="right">4.02</td>
</tr>
<tr>
<td align="left">wangch01</td>
<td align="right">2006</td>
<td align="right">19</td>
<td align="right">6</td>
<td align="right">3.63</td>
</tr>
<tr>
<td align="left">wangch01</td>
<td align="right">2007</td>
<td align="right">19</td>
<td align="right">7</td>
<td align="right">3.70</td>
</tr>
<tr>
<td align="left">wangch01</td>
<td align="right">2008</td>
<td align="right">8</td>
<td align="right">2</td>
<td align="right">4.07</td>
</tr>
<tr>
<td align="left">wangch01</td>
<td align="right">2009</td>
<td align="right">1</td>
<td align="right">6</td>
<td align="right">9.64</td>
</tr>
<tr>
<td align="left">wangch01</td>
<td align="right">2011</td>
<td align="right">4</td>
<td align="right">3</td>
<td align="right">4.04</td>
</tr>
</tbody></table>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-42" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>特定領域 - 文字探勘</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code class="r">suppressPackageStartupMessages({
library(jiebaR) # 斷詞利器
library(tm) # 文字詞彙矩陣運算
library(slam) # 稀疏矩陣運算
library(wordcloud) # 文字雲
library(topicmodels) # 主題模型
library(igraph) # 主題模型關聯
})
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-43" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>特定領域 - 資料收集</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code>陳昇瑋 Sheng-Wei Chen 年會總召, 中央研究院
資訊科學研究所/ 研究員 陳昇瑋博士目前為中央研究院資訊科學
研究所研究員，同時是多媒體網路與系統實驗室主持人。他的研究焦
點著重在使用者滿意度、多媒體系統、社群計算及計算社會學等領域
，在多媒體系統及使用者經驗的量測及管理方面持續有代表性的研究
創見。 陳博士堅信資料及資料分析的價值，長期推廣資料科學及
其在各領域的應用，除本身研究皆基於資料來解決實際生活中的問題
，2014 年開始主辦「台灣資料科學愛好者年會」，期能將對於
資料科學的熱情傳達給大眾，一起來探索資料科學的潛力，將資料科
學引入每個人的專業領域之中。他十分期待能夠讓資料分析在台灣不
再是口號，而是大家手邊隨時可用來解決問題及創造價值的工具。
欲瞭解陳博士的研究及心得分享，請至他的個人網頁一探究竟。
</code></pre>
</article>
<!-- Presenter Notes -->
</slide>
<slide class="largecontent" id="slide-44" style="background-image: url('libraries/frameworks/io2012-wush/images/background.png'); background-repeat:no-repeat; background-position:center; background-size: 100% 100%;" >
<hgroup>
<h2>特定領域 - 斷詞</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<pre><code>陳 瑋 Sheng Wei Chen 年會 總召 中央研究院
資訊 科學 研究所 研究員 陳 瑋 博士 目前 為 中央研
究院 資訊 科學 研究所 研究員 同時 多媒體 網路 系統
實驗室 主持人 他 研究 焦點 著重 使用者 滿意度 多媒體
系統 社群 計算 計算 社會學 領域 多媒體系統 使用者 經
驗 量 測及 管理方面 持續 代表性 研究 創見 陳博士 堅
信 資料 資料 分析 價值 長期 推廣 資料 科學 及其 各
領域 應用 除 本身 研究 皆 基於 資料 來 解決 實際
生活 中 問題 2014 年 開始 主辦 台 灣 資料 科
學 愛好者 年會 期能將 對於 資料 科學 熱情 傳達 給大
眾 一 起來 探索 資料 科學 潛力 將 資料 科學 引入
每個 人 專業 領域 之中 他 十分 期待 能夠 讓 資料
分析 台灣 不再 口號 而是 大家 手邊 隨時 用來 解決問
題 創造 價值 工具 欲瞭解 陳博士 研究 心得 分享 請
至 他 個人 網頁 一探 究竟
</code></pre>
</article>
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<hgroup>
<h2>特定領域 - 文字雲</h2>
</hgroup>
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<p><img src="./assets/fig/rbasic-introduction-tdm-1.png" alt="plot of chunk tdm"></p>
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<hgroup>
<h2>特定領域：互動式網頁服務</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li><a href="http://shiny.rstudio.com/">Shiny</a></li>
<li>Gallery:
<ul>
<li><a href="http://shiny.rstudio.com/gallery/kmeans-example.html">K-means Example</a></li>
</ul></li>
</ul>
</article>
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<hgroup>
<h2>特定領域：API Server</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li><a href="https://www.opencpu.org/">OpenCPU</a></li>
<li>APP:
<ul>
<li><a href="https://demo.ocpu.io/stocks/www/">Stocks</a></li>
</ul></li>
</ul>
</article>
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<hgroup>
<h2>大規模的數據分析</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li><a href="https://spark.apache.org/docs/latest/sparkr.html">SparkR</a></li>
<li><a href="https://github.com/RevolutionAnalytics/RHadoop/wiki">RHadoop</a></li>
<li>MPI
<ul>
<li><a href="http://www.stats.uwo.ca/faculty/yu/Rmpi/">Rmpi</a></li>
<li><a href="https://en.wikipedia.org/wiki/Programming_with_Big_Data_in_R">pbdMPI</a></li>
</ul></li>
</ul>
</article>
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<hgroup>
<h2>R 的Community</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>R 的套件開發非常簡單。<a href="https://www.youtube.com/watch?v=OCQU6M4pPiw">五分鐘學會「如何使用Rstudio建立R套件 」</a>
<ul>
<li><a href="http://cos.name/2015/09/hadley-wickham-the-man-who-revolutionized-r/">Hadley Wickham：一个改变了R的人</a></li>
</ul></li>
<li>R 的Community 甚至創造了一個學R 的套件：swirl</li>
</ul>
</article>
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<hgroup>
<h2>Hadley近年來對R 的影響</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>前十名的R 套件有一半是Hadley寫的</li>
</ul>
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<table border=1>
<tr> <th> </th> <th> package </th> <th> downloads </th> </tr>
<tr> <td align="right"> 1 </td> <td> Rcpp </td> <td> 264091 </td> </tr>
<tr> <td align="right"> 2 </td> <td> ggplot2 </td> <td> 260823 </td> </tr>
<tr> <td align="right"> 3 </td> <td> digest </td> <td> 232034 </td> </tr>
<tr> <td align="right"> 4 </td> <td> stringi </td> <td> 207804 </td> </tr>
<tr> <td align="right"> 5 </td> <td> stringr </td> <td> 204669 </td> </tr>
<tr> <td align="right"> 6 </td> <td> plyr </td> <td> 201598 </td> </tr>
<tr> <td align="right"> 7 </td> <td> scales </td> <td> 200798 </td> </tr>
<tr> <td align="right"> 8 </td> <td> munsell </td> <td> 194471 </td> </tr>
<tr> <td align="right"> 9 </td> <td> reshape2 </td> <td> 179277 </td> </tr>
<tr> <td align="right"> 10 </td> <td> colorspace </td> <td> 169031 </td> </tr>
</table>
</article>
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<hgroup>
<h2>台灣的本土R 社群</h2>
</hgroup>
<article class = 'flexbox vcenter'>
<ul>
<li>台灣的社群有：
<ul>
<li><a href="http://www.meetup.com/Taiwan-R">Taiwan R User Group</a></li>