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analyze-text-data.html

@@ -596,8 +596,8 @@ <h1 class="title"><span id="sec-analysis-text-data" class="quarto-section-identi
 <span id="cb19-10"><a href="#cb19-10"></a>    <span class="at">n_check_convergence =</span> <span class="dv">25</span>, <span class="at">progressbar =</span> <span class="cn">FALSE</span></span>
 <span id="cb19-11"><a href="#cb19-11"></a>  )</span></code><button title="复制到剪贴板" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stdout">
-<pre><code>#&gt; INFO  [03:04:22.578] early stopping at 175 iteration
-#&gt; INFO  [03:04:23.061] early stopping at 50 iteration</code></pre>
+<pre><code>#&gt; INFO  [03:20:32.969] early stopping at 175 iteration
+#&gt; INFO  [03:20:33.451] early stopping at 50 iteration</code></pre>
 </div>
 </div>
 <p>下图展示主题的分布，各个主题及其所占比例。</p>

common-statistical-tests_files/figure-html/fig-two-samples-means-1.tex

@@ -1,4 +1,4 @@
-% Created by tikzDevice version 0.12.6 on 2024-03-15 03:03:01
+% Created by tikzDevice version 0.12.6 on 2024-03-15 03:19:11
 % !TEX encoding = UTF-8 Unicode
 \documentclass[tikz]{standalone}
 

index.html

@@ -446,10 +446,10 @@ <h1 class="title">R 语言数据分析实战</h1>
 <p>本书初稿是在 RStudio IDE 内使用 <a href="https://quarto.org/">Quarto</a> 编辑的，Quarto 是继<a href="https://rmarkdown.rstudio.com/">R Markdown</a>之后，一个新的开源的科学和技术发布系统，它基于 <a href="https://pandoc.org/">Pandoc</a>支持输出多种格式的书稿，比如 HTML 网页、EPUB 电子书、DOCX 文档和 PDF 便携式文档等。Quarto 吸收了过去 10 年 R Markdown 取得的经验和教训，在书籍写作、创建博客、制作简历和幻灯片等系列场景中支持更加统一的使用语法，一份源文档输出多种格式，使文档内容在不同场景中的迁移成本更低。了解更多 Quarto 特性，请访问 <a href="https://quarto.org/" class="uri">https://quarto.org/</a>。</p>
 <p>书中的代码字体采用美观的 <a href="https://ctan.org/pkg/sourcecodepro">Source Code Pro</a> 字体， 为方便跨操作系统编译书籍电子版，正文的中文字体采用开源的 <a href="https://ctan.org/pkg/fandol">fandol</a> 字体。此外，考虑到美观性，本书图形使用了 Noto 系列中英文字体，它们来自 <a href="https://fonts.google.com/">Google Fonts 字体库</a>，分别是 Noto Sans 无衬线英文字体和 Noto Serif SC 宋体中文字体。</p>
 <p>书中 R 包名以粗体表示，如 <strong>knitr</strong> 包，函数名以等宽体表示，如 <code><a href="https://rdrr.io/r/graphics/plot.default.html">plot()</a></code>，函数的参数名同理。代码块内注释用 <code>#</code> 表示，运行结果每一行开头以 <code>#&gt;</code> 标记。本书写作过程中，依赖 <strong>knitr</strong> <span class="citation" data-cites="xie2015">(<a href="references.html#ref-xie2015" role="doc-biblioref">Xie 2015</a>)</span>、<strong>ggplot2</strong> <span class="citation" data-cites="Hadley2016">(<a href="references.html#ref-Hadley2016" role="doc-biblioref">Wickham 2016</a>)</span> 和 <strong>lattice</strong> <span class="citation" data-cites="Deepayan2008">(<a href="references.html#ref-Deepayan2008" role="doc-biblioref">Sarkar 2008</a>)</span> 等众多 R 包。考虑到要同时支持 DOCX、EPUB、PDF 和 HTML 四种书籍格式，书中使用 <strong>knitr</strong> 包和 <a href="https://github.com/rstudio/gt"><strong>gt</strong></a> 包制作静态的表格。</p>
-<p>为方便测试贡献者提供的 PR，本书托管在 Github 上，同时启用 Github Action 服务，为书籍自定义了一个可复现全书内容的运行环境，包括 R 软件、扩展包和系统软件依赖，详见仓库中的 DESCRIPTION 文件。你现在看到的是在线编译版本，使用 Quarto 1.4.550，最新一次编译时间是 2024-03-15 11:01:54。</p>
+<p>为方便测试贡献者提供的 PR，本书托管在 Github 上，同时启用 Github Action 服务，为书籍自定义了一个可复现全书内容的运行环境，包括 R 软件、扩展包和系统软件依赖，详见仓库中的 DESCRIPTION 文件。你现在看到的是在线编译版本，使用 Quarto 1.4.550，最新一次编译时间是 2024-03-15 11:18:04。</p>
 <div class="cell">
 <div class="sourceCode cell-code" id="cb1"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1"></a>xfun<span class="sc">::</span><span class="fu">session_info</span>(<span class="at">packages =</span> <span class="fu">c</span>(</span>
-<span id="cb1-2"><a href="#cb1-2"></a>  <span class="st">"ggplot2"</span>, <span class="st">"gganimate"</span>, <span class="st">"ggrepel"</span>, <span class="st">"ggridges"</span>, <span class="st">"ggbeeswarm"</span>,</span>
+<span id="cb1-2"><a href="#cb1-2"></a>  <span class="st">"ggplot2"</span>, <span class="st">"gganimate"</span>, <span class="st">"ggrepel"</span>, <span class="st">"ggridges"</span>,</span>
 <span id="cb1-3"><a href="#cb1-3"></a>  <span class="st">"patchwork"</span>, <span class="st">"shiny"</span>, <span class="st">"plotly"</span>, <span class="st">"lattice"</span>, <span class="st">"igraph"</span>, </span>
 <span id="cb1-4"><a href="#cb1-4"></a>  <span class="st">"tidygraph"</span>, <span class="st">"ggraph"</span>, <span class="st">"dplyr"</span>, <span class="st">"purrr"</span>, <span class="st">"tidyr"</span>, <span class="st">"httr"</span>, </span>
 <span id="cb1-5"><a href="#cb1-5"></a>  <span class="st">"data.table"</span>, <span class="st">"rsconnect"</span>, <span class="st">"knitr"</span>, <span class="st">"rmarkdown"</span>, <span class="st">"gt"</span>, <span class="st">"DT"</span>,</span>
@@ -468,12 +468,12 @@ <h1 class="title">R 语言数据分析实战</h1>
 #&gt; 
 #&gt; Package version:
 #&gt;   data.table_1.15.2 dplyr_1.1.4       DT_0.32           gganimate_1.0.9  
-#&gt;   ggbeeswarm_0.7.2  ggplot2_3.5.0     ggraph_2.2.1      ggrepel_0.9.5    
-#&gt;   ggridges_0.5.6    gifski_1.12.0.2   gt_0.10.1         httr_1.4.7       
-#&gt;   igraph_2.0.3      knitr_1.45        lattice_0.22.5    magick_2.8.3     
-#&gt;   patchwork_1.2.0   plotly_4.10.4     purrr_1.0.2       rmarkdown_2.26   
-#&gt;   rsconnect_1.2.1   shiny_1.8.0       showtext_0.9.7    tidygraph_1.3.1  
-#&gt;   tidyr_1.3.1       tinytex_0.49     
+#&gt;   ggplot2_3.5.0     ggraph_2.2.1      ggrepel_0.9.5     ggridges_0.5.6   
+#&gt;   gifski_1.12.0.2   gt_0.10.1         httr_1.4.7        igraph_2.0.3     
+#&gt;   knitr_1.45        lattice_0.22.5    magick_2.8.3      patchwork_1.2.0  
+#&gt;   plotly_4.10.4     purrr_1.0.2       rmarkdown_2.26    rsconnect_1.2.1  
+#&gt;   shiny_1.8.0       showtext_0.9.7    tidygraph_1.3.1   tidyr_1.3.1      
+#&gt;   tinytex_0.49     
 #&gt; 
 #&gt; Pandoc version: 3.1.11
 #&gt; 

interactive-applications.html

@@ -959,8 +959,8 @@ <h1 class="title"><span id="sec-interactive-applications" class="quarto-section-
 <div class="cell">
 <div id="fig-shiny-ecosystem" class="cell-output-display quarto-figure quarto-figure-center quarto-float anchored">
 <figure class="quarto-float quarto-float-fig figure"><div aria-describedby="fig-shiny-ecosystem-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
-<div class="nomnoml html-widget html-fill-item" id="htmlwidget-90bf736e75836f093417" style="width:100%;height:464px;"></div>
-<script type="application/json" data-for="htmlwidget-90bf736e75836f093417">{"x":{"code":"\n#fill: #FEFEFF\n#lineWidth: 1\n#zoom: 4\n#direction: right\n\n#stroke: #26A63A\n#.box: dashed visual=ellipse\n#direction: down\n\n[<box>HTML]       -> [网页三剑客]\n[<box>JavaScript] -> [网页三剑客]\n[<box>CSS]        -> [<table>网页三剑客|htmlwidgets|htmltools||sass|bslib||thematic|jquerylib]\n\n[设计布局|bs4Dash|flexdashboard|shinydashboard] -> [<actor>开发应用|R Shiny]\n[设计交互|waiter|shinyFeedback|shinyToastify] -> [<actor>开发应用|R Shiny]\n[权限代理|shinyproxy|shinyauthr|shinymanager] -> [<actor>开发应用|R Shiny]\n\n[网页三剑客]  -> [<actor>开发应用|R Shiny]\n[网页三剑客]  -> [<actor>开发应用|R Shiny]\n[网页三剑客]  -> [<actor>开发应用|R Shiny]\n\n[开发应用] <- [<table>处理数据|Base R|SQL||data.table|dplyr||tidyr|purrr]\n[开发应用] <- [<table>制作表格|DT|gt||reactable|formattable||kableExtra|sparkline]\n[开发应用] <- [<table>制作图形|ggplot2|plotly||echarts4r|leaflet||dygraphs|visNetwork]","svg":false,"png":null},"evals":[],"jsHooks":[]}</script>
+<div class="nomnoml html-widget html-fill-item" id="htmlwidget-da4afd0312fe05e907c3" style="width:100%;height:464px;"></div>
+<script type="application/json" data-for="htmlwidget-da4afd0312fe05e907c3">{"x":{"code":"\n#fill: #FEFEFF\n#lineWidth: 1\n#zoom: 4\n#direction: right\n\n#stroke: #26A63A\n#.box: dashed visual=ellipse\n#direction: down\n\n[<box>HTML]       -> [网页三剑客]\n[<box>JavaScript] -> [网页三剑客]\n[<box>CSS]        -> [<table>网页三剑客|htmlwidgets|htmltools||sass|bslib||thematic|jquerylib]\n\n[设计布局|bs4Dash|flexdashboard|shinydashboard] -> [<actor>开发应用|R Shiny]\n[设计交互|waiter|shinyFeedback|shinyToastify] -> [<actor>开发应用|R Shiny]\n[权限代理|shinyproxy|shinyauthr|shinymanager] -> [<actor>开发应用|R Shiny]\n\n[网页三剑客]  -> [<actor>开发应用|R Shiny]\n[网页三剑客]  -> [<actor>开发应用|R Shiny]\n[网页三剑客]  -> [<actor>开发应用|R Shiny]\n\n[开发应用] <- [<table>处理数据|Base R|SQL||data.table|dplyr||tidyr|purrr]\n[开发应用] <- [<table>制作表格|DT|gt||reactable|formattable||kableExtra|sparkline]\n[开发应用] <- [<table>制作图形|ggplot2|plotly||echarts4r|leaflet||dygraphs|visNetwork]","svg":false,"png":null},"evals":[],"jsHooks":[]}</script>
 </div>
 <figcaption class="quarto-float-caption-bottom quarto-float-caption quarto-float-fig" id="fig-shiny-ecosystem-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
 图&nbsp;8.1: Shiny 生态系统