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<title>前言 | R编程与作图</title>
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<ul class="book-toc list-unstyled">
<li><a class="active" href="index.html">前言</a></li>
<li class="book-part">R编程基础</li>
<li><a class="" href="baseR-intro-ds.html"><span class="header-section-number">1</span> R语言介绍及资料推荐</a></li>
<li><a class="" href="baseR-install.html"><span class="header-section-number">2</span> 安装与环境配置</a></li>
<li><a class="" href="baseR-objects.html"><span class="header-section-number">3</span> 对象</a></li>
<li><a class="" href="baseR-vectors.html"><span class="header-section-number">4</span> 向量</a></li>
<li><a class="" href="baseR-data-structure.html"><span class="header-section-number">5</span> 数据结构</a></li>
<li><a class="" href="baseR-operators.html"><span class="header-section-number">6</span> 运算符及向量运算</a></li>
<li><a class="" href="baseR-functions.html"><span class="header-section-number">7</span> 函数</a></li>
<li><a class="" href="baseR-functions-adv.html"><span class="header-section-number">8</span> 函数应用</a></li>
<li><a class="" href="baseR-subsetting.html"><span class="header-section-number">9</span> 子集选取</a></li>
<li class="book-part">数据读入与处理</li>
<li><a class="" href="tidyverse-readr.html"><span class="header-section-number">10</span> 读取数据</a></li>
<li><a class="" href="tidyverse-dplyr.html"><span class="header-section-number">11</span> 数据处理</a></li>
<li><a class="" href="tidyverse-dplyr-apply.html"><span class="header-section-number">12</span> dplyr进阶</a></li>
<li><a class="" href="tidyverse-tidyr.html"><span class="header-section-number">13</span> 数据规整1</a></li>
<li><a class="" href="tidyverse-tidyr2.html"><span class="header-section-number">14</span> 数据规整2</a></li>
<li><a class="" href="tidyverse-stringr.html"><span class="header-section-number">15</span> 正则表达式</a></li>
<li><a class="" href="tidyverse-tibble.html"><span class="header-section-number">16</span> 简单数据框</a></li>
<li><a class="" href="tidyverse-workflow.html"><span class="header-section-number">17</span> 回望tidyverse之旅</a></li>
<li class="book-part">画图</li>
<li><a class="" href="tidyverse-ggplot2-aes.html"><span class="header-section-number">18</span> 数据可视化</a></li>
<li><a class="" href="tidyverse-ggplot2-geom.html"><span class="header-section-number">19</span> ggplot2之几何形状</a></li>
<li><a class="" href="tidyverse-ggplot2-scales.html"><span class="header-section-number">20</span> ggplot2之标度</a></li>
<li><a class="" href="tidyverse-ggplot2-theme.html"><span class="header-section-number">21</span> ggplot2之主题设置</a></li>
<li><a class="" href="tidyverse-ggplot2-guides.html"><span class="header-section-number">22</span> ggplot2之图例系统</a></li>
<li><a class="" href="tidyverse-ggplot2-customize.html"><span class="header-section-number">23</span> ggplot2之扩展内容</a></li>
<li><a class="" href="tidyverse-ggplot2-stat-layer.html"><span class="header-section-number">24</span> ggplot2之统计图层</a></li>
<li><a class="" href="tidyverse-ggplot2-from-layer-to-geom.html"><span class="header-section-number">25</span> ggplot2之从图层到几何形状</a></li>
<li><a class="" href="tidyverse-ggplot2-colors.html"><span class="header-section-number">26</span> ggplot2之数据可视化中的配色</a></li>
<li><a class="" href="tidyverse-ggplot2-override-aes.html"><span class="header-section-number">27</span> ggplot2之控制图例的外观</a></li>
<li><a class="" href="tidyverse-ggplot2-aes-eval.html"><span class="header-section-number">28</span> ggplot2之延迟映射</a></li>
<li><a class="" href="tidyverse-ggplot2-academic.html"><span class="header-section-number">29</span> ggplot2之科研数据可视化</a></li>
<li><a class="" href="tidyverse-ggplot2-gganimate.html"><span class="header-section-number">30</span> ggplot2之让你的数据动起来</a></li>
<li><a class="" href="tidyverse-ggplot2-pass-function-as-parameters.html"><span class="header-section-number">31</span> ggplot2中传递函数作为参数值</a></li>
<li class="book-part">可重复性文档Rmarkdown以及练习</li>
<li><a class="" href="tidyverse-rmarkdown.html"><span class="header-section-number">32</span> 可重复性文档</a></li>
<li><a class="" href="eda-practice.html"><span class="header-section-number">33</span> 一天一练</a></li>
<li class="book-part">GO/KEGG富集分析</li>
<li><a class="" href="GO-KEGG.html"><span class="header-section-number">34</span> GO/KEGG功能富集分析</a></li>
</ul>
<div class="book-extra">
</div>
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</div>
</header><main class="col-sm-12 col-md-9 col-lg-7" id="content"><!--bookdown:title:end--><!--bookdown:title:start--><div id="前言" class="section level1 unnumbered">
<h1>前言<a class="anchor" aria-label="anchor" href="#%E5%89%8D%E8%A8%80"><i class="fas fa-link"></i></a>
</h1>
<p>本课程主要根据<a href="https://bookdown.org/wangminjie/R4DS/">《数据科学中的R语言》的课程内容</a>, 略作修改，重点介绍基本的R编程与作图内容。推荐大家阅读原课程内容以及Hadley Wickham的
<a href="https://r4ds.had.co.nz/">r4ds</a>这本书 <span class="citation">(<a href="GO-KEGG.html#ref-Wickham2017">Grolemund and Wickham 2017</a>)</span>, <a href="https://r4ds.hadley.nz/">r4ds这本书的第二版</a>已于2023年6月发行。</p>
<div class="inline-figure"><img src="images/rbook1.png" width="35%"></div>
<div id="关于课程" class="section level2 unnumbered">
<h2>关于课程<a class="anchor" aria-label="anchor" href="#%E5%85%B3%E4%BA%8E%E8%AF%BE%E7%A8%8B"><i class="fas fa-link"></i></a>
</h2>
<ul>
<li>R编程基础
<ul>
<li>第 <a href="baseR-intro-ds.html#baseR-intro-ds">1</a> 章介绍R语言及资料推荐</li>
<li>第 <a href="baseR-install.html#baseR-install">2</a> 章介绍安装与环境配置</li>
<li>第 <a href="baseR-objects.html#baseR-objects">3</a> 章介绍R语言中一切都是对象</li>
<li>第 <a href="baseR-vectors.html#baseR-vectors">4</a> 章介绍向量</li>
<li>第 <a href="baseR-data-structure.html#baseR-data-structure">5</a> 章介绍R语言数据结构</li>
<li>第 <a href="baseR-operators.html#baseR-operators">6</a> 章介绍运算符及向量运算</li>
<li>第 <a href="baseR-functions.html#baseR-functions">7</a> 章介绍R语言中的函数</li>
<li>第 <a href="baseR-functions-adv.html#baseR-functions-adv">8</a> 章介绍函数的应用</li>
<li>第 <a href="baseR-subsetting.html#baseR-subsetting">9</a> 章介绍R语言中的子集选取</li>
</ul>
</li>
<li>数据读入与处理
<ul>
<li>第 <a href="tidyverse-readr.html#tidyverse-readr">10</a> 章介绍数据读入</li>
<li>第 <a href="tidyverse-dplyr.html#tidyverse-dplyr">11</a> 章介绍数据处理</li>
<li>第 <a href="tidyverse-dplyr-apply.html#tidyverse-dplyr-apply">12</a> 章介绍dplyr的应用</li>
<li>第 <a href="tidyverse-tidyr.html#tidyverse-tidyr">13</a> 章介绍数据规整1</li>
<li>第 <a href="tidyverse-tidyr2.html#tidyverse-tidyr2">14</a> 章介绍数据规整2</li>
<li>第 <a href="tidyverse-stringr.html#tidyverse-stringr">15</a> 章介绍字符串处理</li>
<li>第 <a href="tidyverse-tibble.html#tidyverse-tibble">16</a> 章介绍简单数据框</li>
<li>第 <a href="tidyverse-workflow.html#tidyverse-workflow">17</a> 章回望Tidyverse之旅</li>
</ul>
</li>
<li>画图
<ul>
<li>第 <a href="tidyverse-ggplot2-aes.html#tidyverse-ggplot2-aes">18</a> 章介绍数据可视化</li>
<li>第 <a href="tidyverse-ggplot2-geom.html#tidyverse-ggplot2-geom">19</a> 章ggplot2几何形状</li>
<li>第 <a href="tidyverse-ggplot2-scales.html#tidyverse-ggplot2-scales">20</a> 章ggplot2的标度</li>
<li>第 <a href="tidyverse-ggplot2-theme.html#tidyverse-ggplot2-theme">21</a> 章ggplot2的主题</li>
<li>第 <a href="tidyverse-ggplot2-guides.html#tidyverse-ggplot2-guides">22</a> 章ggplot2的图例</li>
<li>第 <a href="tidyverse-ggplot2-customize.html#tidyverse-ggplot2-customize">23</a> 章ggplot2扩展内容</li>
<li>第 <a href="tidyverse-ggplot2-stat-layer.html#tidyverse-ggplot2-stat-layer">24</a> 章ggplot2统计图层</li>
<li>第 <a href="tidyverse-ggplot2-from-layer-to-geom.html#tidyverse-ggplot2-from-layer-to-geom">25</a> 章ggplot2从图层到几何形状</li>
<li>第 <a href="tidyverse-ggplot2-colors.html#tidyverse-ggplot2-colors">26</a> 章ggplot2数据可视化中的配色</li>
<li>第 <a href="tidyverse-ggplot2-override-aes.html#tidyverse-ggplot2-override-aes">27</a> 章ggplot2如何控制图例的外观</li>
<li>第 <a href="tidyverse-ggplot2-aes-eval.html#tidyverse-ggplot2-aes-eval">28</a> 章ggplot2中的延迟映射</li>
<li>第 <a href="tidyverse-ggplot2-academic.html#tidyverse-ggplot2-academic">29</a> 章介绍科研数据可视化中的统计分布图</li>
<li>第 <a href="tidyverse-ggplot2-gganimate.html#tidyverse-ggplot2-gganimate">30</a> 章让你的数据骚动起来</li>
<li>第 <a href="tidyverse-ggplot2-pass-function-as-parameters.html#tidyverse-ggplot2-pass-function-as-parameters">31</a> 章ggplot2中传递函数作为参数值</li>
</ul>
</li>
<li>可重复性文档Rmarkdown以及练习
<ul>
<li>第 <a href="tidyverse-rmarkdown.html#tidyverse-rmarkdown">32</a> 章介绍可重复性文档<br>
</li>
<li>第 <a href="eda-practice.html#eda-practice">33</a> 章一日一练</li>
</ul>
</li>
<li>GO/KEGG富集分析
<ul>
<li>第 <a href="GO-KEGG.html#GO-KEGG">34</a> 章介绍GO/KEGG功能富集分析</li>
</ul>
</li>
</ul>
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