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<body class="quarto-light">
<div class="reveal">
<div class="slides">
<section id="title-slide" class="quarto-title-block center">
<h1 class="title">Einführung mit Fokus auf Statistik</h1>
<div class="quarto-title-authors">
</div>
</section>
<section id="etappen-im-analyseablauf" class="slide level2">
<h2>Etappen im Analyseablauf</h2>
<ol type="1">
<li><em>Definition der Arbeitsumgebung</em></li>
<li><em>Import der Daten</em></li>
<li><em>Transformationen der Daten</em></li>
<li><em>Exploration (allgemein/Extremwerte/Verteilung) (zurück auf 3?)</em></li>
<li><em>Klassifikation von Skalenniveaus / Verteilungen (basierend auf 3/4)</em></li>
<li><em>Beschreibende Statistik</em></li>
<li><em>Test / Modellierung (kann Schritt 6 beinhalten)</em></li>
<li><em>Reporterstellung</em></li>
</ol>
</section>
<section id="definition-der-arbeitsumgebung" class="slide level2">
<h2>Definition der Arbeitsumgebung</h2>
<ul>
<li><em>Aktivierung benötigter Pakete: library() / pacman::p_load()</em></li>
<li><em>ggplot Themen: theme_set() / theme_update()</em></li>
<li><em>flextable Einstellungen: set_flextable_defaults()</em></li>
<li><em>knitr::opts_chunk$set()</em></li>
</ul>
<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=""></a><span class="cf">if</span>(<span class="sc">!</span><span class="fu">requireNamespace</span>(<span class="st">"pacman"</span>)){<span class="fu">install.packages</span>(<span class="st">"pacman"</span>)}</span>
<span id="cb1-2"><a href=""></a>pacman<span class="sc">::</span><span class="fu">p_load</span>(conflicted,tidyverse,wrappedtools, readxl,car, flextable,</span>
<span id="cb1-3"><a href=""></a> ggbeeswarm, ggsignif, ggridges, patchwork,ggrepel, easystats)</span>
<span id="cb1-4"><a href=""></a></span>
<span id="cb1-5"><a href=""></a><span class="fu">conflicts_prefer</span>(dplyr<span class="sc">::</span>filter,dplyr<span class="sc">::</span>select)</span>
<span id="cb1-6"><a href=""></a><span class="fu">theme_set</span>(<span class="fu">theme_light</span>(<span class="at">base_size =</span> <span class="dv">20</span>))</span>
<span id="cb1-7"><a href=""></a>gdtools<span class="sc">::</span><span class="fu">register_gfont</span>(<span class="st">'Roboto'</span>)<span class="co"># Mono')</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] TRUE</code></pre>
</div>
<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href=""></a><span class="fu">set_flextable_defaults</span>(</span>
<span id="cb3-2"><a href=""></a> <span class="at">theme_fun =</span> theme_zebra, <span class="at">font.size =</span> <span class="dv">18</span>, <span class="at">font.family =</span> <span class="st">'Roboto'</span>,</span>
<span id="cb3-3"><a href=""></a> <span class="at">table.layout =</span> <span class="st">'autofit'</span>,</span>
<span id="cb3-4"><a href=""></a> <span class="at">padding.bottom =</span> .<span class="dv">2</span>, <span class="at">padding.top =</span> .<span class="dv">2</span>, <span class="at">padding.left =</span> <span class="dv">2</span>, <span class="at">padding.right =</span> <span class="dv">2</span>)</span>
<span id="cb3-5"><a href=""></a></span>
<span id="cb3-6"><a href=""></a>knitr<span class="sc">::</span>opts_chunk<span class="sc">$</span><span class="fu">set</span>(<span class="at">message =</span> <span class="cn">FALSE</span>, <span class="at">warning =</span> <span class="cn">FALSE</span>, <span class="at">comment =</span> <span class="cn">NA</span>, <span class="at">echo =</span> <span class="cn">TRUE</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</section>
<section id="import" class="slide level2">
<h2>Import</h2>
<ul>
<li><em>read_xlsx() / read_csv() / read_csv2()</em></li>
<li>Optionen beziehen sich auf Trennzeichen, Zahlenformate, Bereiche etc.</li>
<li><em>rename() / rename_with()</em></li>
</ul>
<div class="cell">
<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href=""></a>rawdata <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="st">'Data/DOC-20230130-WA0000_.xlsx'</span>,</span>
<span id="cb4-2"><a href=""></a> <span class="at">sheet =</span> <span class="dv">1</span>,<span class="at">col_names =</span> <span class="cn">TRUE</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</section>
<section id="erster-blick-auf-die-daten-problemsuche" class="slide level2">
<h2>Erster Blick auf die Daten: Problemsuche</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href=""></a><span class="fu">head</span>(rawdata,<span class="at">n =</span> <span class="dv">15</span>) <span class="sc">|></span> <span class="fu">flextable</span>()<span class="sc">|></span> </span>
<span id="cb5-2"><a href=""></a> <span class="fu">theme_zebra</span>(<span class="at">even_body =</span> <span class="st">'aquamarine'</span>,<span class="at">odd_body =</span> <span class="st">'antiquewhite'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output-display">
<div class="tabwid"><style>.cl-274838b8{table-layout:auto;}.cl-274187ac{font-family:'Roboto';font-size:18pt;font-weight:bold;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-274187ca{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-274450f4{margin:0;text-align:left;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-274450fe{margin:0;text-align:right;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-27446d64{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27446d6e{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27446d78{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27446d82{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27446d83{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27446d84{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}</style><table data-quarto-disable-processing="true" class="cl-274838b8"><thead><tr style="overflow-wrap:break-word;"><th class="cl-27446d64"><p class="cl-274450f4"><span class="cl-274187ac">CODE OF CUP</span></p></th><th class="cl-27446d64"><p class="cl-274450f4"><span class="cl-274187ac">CODE OF SAMPLE</span></p></th><th class="cl-27446d6e"><p class="cl-274450fe"><span class="cl-274187ac">WEIGHT OF EMPTY ALUMINUM(wt)</span></p></th><th class="cl-27446d6e"><p class="cl-274450fe"><span class="cl-274187ac">WEIGTH OF ALMINIUM CUP + SAMPLE (Wt + s)</span></p></th><th class="cl-27446d6e"><p class="cl-274450fe"><span class="cl-274187ac">WEIGTH OF ALUMINIUM CAP + SAMPLE AFTER DRYING (Wt-AL +s+d)</span></p></th><th class="cl-27446d6e"><p class="cl-274450fe"><span class="cl-274187ac">weight of sample before drying (Wts)</span></p></th><th class="cl-27446d6e"><p class="cl-274450fe"><span class="cl-274187ac">weight of sample after drying (Wts+d)</span></p></th><th class="cl-27446d6e"><p class="cl-274450fe"><span class="cl-274187ac">MOISTURE CONTENT (%)</span></p></th></tr></thead><tbody><tr style="overflow-wrap:break-word;"><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">69</span></p></td><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.1974</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">9.3865</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.7000</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">5.1891</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.6865</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">90.31431</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca"></span></p></td><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.1964</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">9.2734</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.4670</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">5.0770</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.8064</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">94.67008</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">A</span></p></td><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.2108</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">9.2653</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.6670</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">5.0545</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.5983</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">90.97438</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">114</span></p></td><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.2134</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">9.3146</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.6345</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">5.1012</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.6801</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">91.74508</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">M1</span></p></td><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.1856</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">9.3147</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.6171</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">5.1291</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.6976</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">91.58722</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">a/17</span></p></td><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.2090</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">9.3204</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.5661</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">5.1114</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.7543</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">93.01366</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">8</span></p></td><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.1894</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">9.2661</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.5778</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">5.0767</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.6883</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">92.34936</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">33</span></p></td><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.1968</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">9.2880</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.6057</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">5.0912</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.6823</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">91.96849</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">M</span></p></td><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.1535</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">9.2872</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.6350</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">5.1337</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.6522</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">90.62080</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">E/18/1</span></p></td><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.2534</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">9.2476</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.7403</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.9942</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.5073</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">90.25069</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">24/A2</span></p></td><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">D</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.2066</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">8.3463</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.5849</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.1397</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">3.7614</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">90.86166</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">13</span></p></td><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">A</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.1554</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">9.2384</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.7402</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">5.0830</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.4982</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">88.49498</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">Xp</span></p></td><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">A</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.1893</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">9.2495</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.7381</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">5.0602</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.5114</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">89.15458</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">2p/029</span></p></td><td class="cl-27446d83"><p class="cl-274450f4"><span class="cl-274187ca">A</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.0654</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">9.2173</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.6940</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">5.1519</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">4.5233</span></p></td><td class="cl-27446d84"><p class="cl-274450fe"><span class="cl-274187ca">87.79868</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">15</span></p></td><td class="cl-27446d78"><p class="cl-274450f4"><span class="cl-274187ca">A</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.0641</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">9.2032</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.8124</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">5.1391</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">4.3908</span></p></td><td class="cl-27446d82"><p class="cl-274450fe"><span class="cl-274187ca">85.43908</span></p></td></tr></tbody></table></div>
</div>
</div>
</section>
<section id="umbenennen-von-variablen" class="slide level2">
<h2>Umbenennen von Variablen</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb6-1"><a href=""></a><span class="fu">colnames</span>(rawdata)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] "CODE OF CUP"
[2] "CODE OF SAMPLE"
[3] "WEIGHT OF EMPTY ALUMINUM(wt)"
[4] "WEIGTH OF ALMINIUM CUP + SAMPLE (Wt + s)"
[5] "WEIGTH OF ALUMINIUM CAP + SAMPLE AFTER DRYING (Wt-AL +s+d)"
[6] "weight of sample before drying (Wts)"
[7] "weight of sample after drying (Wts+d)"
[8] "MOISTURE CONTENT (%)" </code></pre>
</div>
<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href=""></a>rawdata <span class="ot"><-</span> rawdata <span class="sc">|></span> </span>
<span id="cb8-2"><a href=""></a> <span class="fu">rename</span>(<span class="at">Region=</span><span class="st">`</span><span class="at">CODE OF SAMPLE</span><span class="st">`</span>) <span class="sc">|></span> </span>
<span id="cb8-3"><a href=""></a> <span class="fu">rename_with</span>(<span class="at">.fn =</span> <span class="sc">~</span><span class="fu">str_replace_all</span>(</span>
<span id="cb8-4"><a href=""></a> .,</span>
<span id="cb8-5"><a href=""></a> <span class="fu">c</span>(<span class="st">"GTH"</span><span class="ot">=</span><span class="st">"GHT"</span>, <span class="st">'AL.+UM'</span><span class="ot">=</span> <span class="st">'Cup'</span>, </span>
<span id="cb8-6"><a href=""></a> <span class="st">'C[UA]P'</span> <span class="ot">=</span> <span class="st">'Cup'</span>,<span class="st">'</span><span class="sc">\\</span><span class="st">(</span><span class="sc">\\</span><span class="st">w+.*</span><span class="sc">\\</span><span class="st">)'</span><span class="ot">=</span><span class="st">''</span>,</span>
<span id="cb8-7"><a href=""></a> <span class="st">'Cup Cup'</span><span class="ot">=</span><span class="st">'Cup'</span>,<span class="st">' '</span><span class="ot">=</span><span class="st">' '</span>)) <span class="sc">|></span> </span>
<span id="cb8-8"><a href=""></a> <span class="fu">str_to_title</span>() <span class="sc">|></span> <span class="fu">str_trim</span>())</span>
<span id="cb8-9"><a href=""></a><span class="fu">cn</span>() </span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] "Code Of Cup" "Region"
[3] "Weight Of Empty Cup" "Weight Of Cup + Sample"
[5] "Weight Of Cup + Sample After Drying" "Weight Of Sample Before Drying"
[7] "Weight Of Sample After Drying" "Moisture Content (%)" </code></pre>
</div>
</div>
</section>
<section id="transformationen" class="slide level2">
<h2>Transformationen</h2>
<ul>
<li><em>Ändern oder Erzeugen von Spalten mit mutate() / mutate(across())</em></li>
<li><em>z.B. für log-Transformation, Erzeugen von Faktoren, Text -Umkodierung</em></li>
</ul>
<div class="cell">
<div class="sourceCode cell-code" id="cb10"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb10-1"><a href=""></a>rawdata <span class="ot"><-</span> rawdata <span class="sc">|></span> </span>
<span id="cb10-2"><a href=""></a> <span class="fu">mutate</span>(</span>
<span id="cb10-3"><a href=""></a> <span class="st">`</span><span class="at">Code Of Cup</span><span class="st">`</span><span class="ot">=</span><span class="fu">case_when</span>(</span>
<span id="cb10-4"><a href=""></a> <span class="fu">is.na</span>(<span class="st">`</span><span class="at">Code Of Cup</span><span class="st">`</span>)<span class="sc">~</span><span class="fu">paste</span>(<span class="st">"sample"</span>,<span class="fu">row_number</span>()),</span>
<span id="cb10-5"><a href=""></a> <span class="at">.default =</span> <span class="st">`</span><span class="at">Code Of Cup</span><span class="st">`</span>),</span>
<span id="cb10-6"><a href=""></a> <span class="st">`</span><span class="at">Weight Of Sample After Drying</span><span class="st">`</span><span class="ot">=</span><span class="st">`</span><span class="at">Weight Of Cup + Sample After Drying</span><span class="st">`</span><span class="sc">-</span></span>
<span id="cb10-7"><a href=""></a> <span class="st">`</span><span class="at">Weight Of Empty Cup</span><span class="st">`</span>,</span>
<span id="cb10-8"><a href=""></a> <span class="st">`</span><span class="at">Dry Content (%)</span><span class="st">`</span><span class="ot">=</span><span class="st">`</span><span class="at">Weight Of Sample After Drying</span><span class="st">`</span><span class="sc">*</span><span class="dv">100</span><span class="sc">/</span></span>
<span id="cb10-9"><a href=""></a> <span class="st">`</span><span class="at">Weight Of Sample Before Drying</span><span class="st">`</span>,</span>
<span id="cb10-10"><a href=""></a> <span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span><span class="ot">=</span><span class="dv">100</span><span class="sc">-</span><span class="st">`</span><span class="at">Dry Content (%)</span><span class="st">`</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="cell">
<div class="cell-output-display">
<div class="tabwid"><style>.cl-277cd8f2{table-layout:auto;}.cl-2776d25e{font-family:'Roboto';font-size:18pt;font-weight:bold;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2776d268{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-27793ddc{margin:0;text-align:left;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-27793de6{margin:0;text-align:right;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-2779561e{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2779561f{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27795628{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27795629{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27795632{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-27795633{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}</style><table data-quarto-disable-processing="true" class="cl-277cd8f2"><thead><tr style="overflow-wrap:break-word;"><th class="cl-2779561e"><p class="cl-27793ddc"><span class="cl-2776d25e">Code Of Cup</span></p></th><th class="cl-2779561e"><p class="cl-27793ddc"><span class="cl-2776d25e">Region</span></p></th><th class="cl-2779561f"><p class="cl-27793de6"><span class="cl-2776d25e">Weight Of Empty Cup</span></p></th><th class="cl-2779561f"><p class="cl-27793de6"><span class="cl-2776d25e">Weight Of Cup + Sample</span></p></th><th class="cl-2779561f"><p class="cl-27793de6"><span class="cl-2776d25e">Weight Of Cup + Sample After Drying</span></p></th><th class="cl-2779561f"><p class="cl-27793de6"><span class="cl-2776d25e">Weight Of Sample Before Drying</span></p></th><th class="cl-2779561f"><p class="cl-27793de6"><span class="cl-2776d25e">Weight Of Sample After Drying</span></p></th><th class="cl-2779561f"><p class="cl-27793de6"><span class="cl-2776d25e">Moisture Content (%)</span></p></th><th class="cl-2779561f"><p class="cl-27793de6"><span class="cl-2776d25e">Dry Content (%)</span></p></th></tr></thead><tbody><tr style="overflow-wrap:break-word;"><td class="cl-27795628"><p class="cl-27793ddc"><span class="cl-2776d268">69</span></p></td><td class="cl-27795628"><p class="cl-27793ddc"><span class="cl-2776d268">D</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">4.1974</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">9.3865</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">4.7000</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">5.1891</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">0.5026</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">90.31431</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">9.685687</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27795632"><p class="cl-27793ddc"><span class="cl-2776d268">sample 2</span></p></td><td class="cl-27795632"><p class="cl-27793ddc"><span class="cl-2776d268">D</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">4.1964</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">9.2734</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">4.4670</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">5.0770</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">0.2706</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">94.67008</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">5.329919</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27795628"><p class="cl-27793ddc"><span class="cl-2776d268">A</span></p></td><td class="cl-27795628"><p class="cl-27793ddc"><span class="cl-2776d268">D</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">4.2108</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">9.2653</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">4.6670</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">5.0545</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">0.4562</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">90.97438</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">9.025621</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27795632"><p class="cl-27793ddc"><span class="cl-2776d268">114</span></p></td><td class="cl-27795632"><p class="cl-27793ddc"><span class="cl-2776d268">D</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">4.2134</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">9.3146</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">4.6345</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">5.1012</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">0.4211</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">91.74508</span></p></td><td class="cl-27795633"><p class="cl-27793de6"><span class="cl-2776d268">8.254920</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-27795628"><p class="cl-27793ddc"><span class="cl-2776d268">M1</span></p></td><td class="cl-27795628"><p class="cl-27793ddc"><span class="cl-2776d268">D</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">4.1856</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">9.3147</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">4.6171</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">5.1291</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">0.4315</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">91.58722</span></p></td><td class="cl-27795629"><p class="cl-27793de6"><span class="cl-2776d268">8.412782</span></p></td></tr></tbody></table></div>
</div>
</div>
</section>
<section id="exploration-variablengruppierung" class="slide level2">
<h2>Exploration / Variablengruppierung</h2>
<h3 id="exploration-allgemeinextremwerteverteilung"><em>Exploration (allgemein/Extremwerte/Verteilung)</em></h3>
<ul>
<li><em>ggplot()+geom_boxplot() / geom_beeswarm() / geom_density()</em></li>
<li><em>ks.test() / ksnormal() / shapiro.test()</em></li>
</ul>
<h3 id="klassifikation-nach-skalenniveau-verteilung"><em>Klassifikation nach Skalenniveau / Verteilung</em></h3>
<ul>
<li><em>gaussvars / ordvars / factvars, possibly more…</em></li>
<li><em>Speichern von Variablengruppen, z.B. ColSeeker()</em></li>
</ul>
</section>
<section id="exploration-extremwerte" class="slide level2">
<h2><em>Exploration: Extremwerte</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb11"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb11-1"><a href=""></a>p1 <span class="ot"><-</span> <span class="fu">ggplot</span>(<span class="at">data =</span> rawdata, <span class="fu">aes</span>(<span class="at">x =</span> <span class="st">`</span><span class="at">Region</span><span class="st">`</span>, <span class="at">y =</span> <span class="st">`</span><span class="at">Weight Of Empty Cup</span><span class="st">`</span>))<span class="sc">+</span></span>
<span id="cb11-2"><a href=""></a> <span class="fu">geom_boxplot</span>(<span class="at">outlier.alpha =</span> <span class="dv">0</span>) <span class="sc">+</span> <span class="co">#hide outliers, beeswarm will plot them</span></span>
<span id="cb11-3"><a href=""></a> <span class="fu">geom_beeswarm</span>(<span class="at">alpha=</span>.<span class="dv">5</span>, <span class="at">color=</span><span class="st">"darkorange"</span>)</span>
<span id="cb11-4"><a href=""></a>p2 <span class="ot"><-</span> <span class="fu">ggplot</span>(<span class="at">data =</span> rawdata, <span class="fu">aes</span>(<span class="at">x =</span> <span class="st">`</span><span class="at">Region</span><span class="st">`</span>, <span class="at">y =</span> <span class="st">`</span><span class="at">Weight Of Sample Before Drying</span><span class="st">`</span>))<span class="sc">+</span></span>
<span id="cb11-5"><a href=""></a> <span class="fu">geom_boxplot</span>(<span class="at">outlier.alpha =</span> <span class="dv">0</span>) <span class="sc">+</span> </span>
<span id="cb11-6"><a href=""></a> <span class="fu">geom_beeswarm</span>(<span class="at">alpha=</span>.<span class="dv">5</span>, <span class="at">color=</span><span class="st">"darkorange"</span>) </span>
<span id="cb11-7"><a href=""></a>p2 <span class="ot"><-</span> <span class="fu">label_outliers</span>(p2, <span class="at">labelvar =</span> <span class="st">"Code Of Cup"</span>)</span>
<span id="cb11-8"><a href=""></a>p1<span class="sc">|</span>p2</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-7-1.png" class="r-stretch"></section>
<section id="behandlung-extremwerteausreißer" class="slide level2">
<h2>Behandlung Extremwerte/Ausreißer?</h2>
<p>Entfernen ist die schlechteste Option, Korrektur von Eingabefehlern, Ändern der Verteilung oder Winsorizierung…</p>
<img data-src="Figures/outlier.jpg" class="r-stretch"></section>
<section id="exploration-unerwartetes" class="slide level2">
<h2><em>Exploration: Unerwartetes</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb12"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb12-1"><a href=""></a><span class="fu">ggplot</span>(<span class="at">data =</span> rawdata,</span>
<span id="cb12-2"><a href=""></a> <span class="fu">aes</span>(<span class="at">x =</span> <span class="st">`</span><span class="at">Region</span><span class="st">`</span>,</span>
<span id="cb12-3"><a href=""></a> <span class="at">y =</span> <span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>))<span class="sc">+</span></span>
<span id="cb12-4"><a href=""></a> <span class="fu">geom_boxplot</span>(<span class="at">outlier.alpha =</span> <span class="dv">0</span>) <span class="sc">+</span> </span>
<span id="cb12-5"><a href=""></a> <span class="fu">geom_beeswarm</span>(<span class="at">alpha=</span>.<span class="dv">5</span>, <span class="at">color=</span><span class="st">"darkorange"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-8-1.png" class="r-stretch"></section>
<section id="transformation-in-subregionen" class="slide level2">
<h2>Transformation in Subregionen?</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb13"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb13-1"><a href=""></a>rawdata <span class="ot"><-</span> <span class="fu">mutate</span>(rawdata, <span class="at">Subregion =</span> <span class="fu">case_when</span>(</span>
<span id="cb13-2"><a href=""></a> <span class="st">`</span><span class="at">Region</span><span class="st">`</span><span class="sc">==</span><span class="st">'D'</span> <span class="sc">~</span> <span class="st">'D'</span>,</span>
<span id="cb13-3"><a href=""></a> <span class="st">`</span><span class="at">Region</span><span class="st">`</span><span class="sc">==</span><span class="st">'A'</span> <span class="sc">&</span> <span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span> <span class="sc">></span> <span class="dv">90</span> <span class="sc">~</span> <span class="st">'A high'</span>,</span>
<span id="cb13-4"><a href=""></a> <span class="st">`</span><span class="at">Region</span><span class="st">`</span><span class="sc">==</span><span class="st">'A'</span> <span class="sc">&</span> <span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span> <span class="sc"><=</span> <span class="dv">90</span> <span class="sc">~</span> <span class="st">'A low'</span>) <span class="sc">|></span></span>
<span id="cb13-5"><a href=""></a> <span class="fu">factor</span>())</span>
<span id="cb13-6"><a href=""></a><span class="co"># Test for Region A is redundant here, but more verbose.</span></span>
<span id="cb13-7"><a href=""></a></span>
<span id="cb13-8"><a href=""></a><span class="fu">ggplot</span>(<span class="at">data =</span> rawdata,<span class="fu">aes</span>(<span class="at">x =</span> <span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>,<span class="at">y=</span>Subregion))<span class="sc">+</span></span>
<span id="cb13-9"><a href=""></a> <span class="fu">geom_density_ridges</span>(<span class="at">alpha=</span>.<span class="dv">5</span>, <span class="at">scale=</span><span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-9-1.png" class="r-stretch"></section>
<section id="exploration-normalverteilung-1" class="slide level2">
<h2><em>Exploration: Normalverteilung 1</em></h2>
<ul>
<li><p>Gausssche Glockenkurve / Normalverteilung ist Voraussetzung vieler statistischen Verfahren</p></li>
<li><p>Übliche Tests sind graphische Exploration, Shapiro-Wilk-Test Und Kolmogorov-Smirnov-Test</p></li>
</ul>
<div class="cell">
<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb14-1"><a href=""></a>p_normal <span class="ot"><-</span> </span>
<span id="cb14-2"><a href=""></a> <span class="fu">shapiro.test</span>(<span class="at">x =</span> rawdata<span class="sc">$</span><span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>)</span>
<span id="cb14-3"><a href=""></a>p_normal</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Shapiro-Wilk normality test
data: rawdata$`Moisture Content (%)`
W = 0.89133, p-value = 0.003752</code></pre>
</div>
</div>
</section>
<section id="section" class="slide level2">
<h2></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb16"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb16-1"><a href=""></a><span class="fu">ggplot</span>(<span class="at">data =</span> rawdata,<span class="fu">aes</span>(<span class="at">x =</span> <span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>,<span class="at">fill=</span><span class="st">`</span><span class="at">Subregion</span><span class="st">`</span>))<span class="sc">+</span></span>
<span id="cb16-2"><a href=""></a> <span class="fu">geom_density</span>(<span class="at">linewidth=</span><span class="dv">3</span>, <span class="at">alpha=</span>.<span class="dv">5</span>)<span class="sc">+</span></span>
<span id="cb16-3"><a href=""></a> <span class="fu">labs</span>(<span class="at">title =</span> <span class="fu">paste</span>(<span class="st">'p (Shapiro) global'</span>,</span>
<span id="cb16-4"><a href=""></a> <span class="fu">formatP</span>(<span class="at">pIn =</span> p_normal<span class="sc">$</span>p.value, <span class="at">pretext =</span> T)),</span>
<span id="cb16-5"><a href=""></a> <span class="at">subtitle =</span> rawdata <span class="sc">|></span> <span class="fu">group_by</span>(Subregion) <span class="sc">|></span> </span>
<span id="cb16-6"><a href=""></a> <span class="fu">summarize</span>(<span class="at">pNormal=</span><span class="fu">shapiro.test</span>(<span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>)<span class="sc">$</span>p.value <span class="sc">|></span> <span class="fu">formatP</span>()) <span class="sc">|></span> </span>
<span id="cb16-7"><a href=""></a> <span class="fu">unite</span>(<span class="st">'p(Normal)'</span>,<span class="at">sep =</span> <span class="st">': p='</span>) <span class="sc">|></span> <span class="fu">pull</span>(<span class="dv">1</span>) <span class="sc">|></span> <span class="fu">paste</span>(<span class="at">collapse =</span> <span class="st">'; '</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-11-1.png" class="r-stretch"></section>
<section id="exploration-normalverteilung-2" class="slide level2">
<h2><em>Exploration: Normalverteilung 2</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb17"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb17-1"><a href=""></a>rawdata <span class="sc">|></span> </span>
<span id="cb17-2"><a href=""></a> <span class="fu">group_by</span>(<span class="st">`</span><span class="at">Subregion</span><span class="st">`</span>) <span class="sc">|></span> </span>
<span id="cb17-3"><a href=""></a> <span class="fu">summarize</span>(<span class="fu">across</span>(<span class="at">.cols =</span> <span class="fu">where</span>(is.numeric), </span>
<span id="cb17-4"><a href=""></a> <span class="at">.fns =</span> <span class="sc">~</span><span class="fu">ksnormal</span>(.x) <span class="sc">|></span> <span class="co">#computing p-value</span></span>
<span id="cb17-5"><a href=""></a> <span class="fu">formatP</span>(<span class="at">mark =</span> T))) <span class="sc">|></span> <span class="co">#formatting p-value</span></span>
<span id="cb17-6"><a href=""></a> <span class="fu">pivot_longer</span>(<span class="at">cols =</span> <span class="sc">-</span><span class="dv">1</span>, <span class="at">names_to =</span> <span class="st">'Variable'</span>, </span>
<span id="cb17-7"><a href=""></a> <span class="at">values_to =</span> <span class="st">'pKS'</span>) <span class="sc">|></span> <span class="co">#intermediate, all p-values in 1 column</span></span>
<span id="cb17-8"><a href=""></a> <span class="fu">pivot_wider</span>(<span class="at">names_from =</span> <span class="st">`</span><span class="at">Subregion</span><span class="st">`</span>, </span>
<span id="cb17-9"><a href=""></a> <span class="at">values_from =</span> pKS) <span class="co">#spreading across subregions</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 7 × 4
Variable `A high` `A low` D
<chr> <chr> <chr> <chr>
1 Weight Of Empty Cup 0.842 n.s. 0.033 * 0.173 n.s.
2 Weight Of Cup + Sample 0.270 n.s. 0.767 n.s. 0.001 ***
3 Weight Of Cup + Sample After Drying 0.481 n.s. 0.177 n.s. 0.718 n.s.
4 Weight Of Sample Before Drying 0.002 ** 0.952 n.s. 0.001 ***
5 Weight Of Sample After Drying 0.755 n.s. 0.074 + 0.983 n.s.
6 Moisture Content (%) 0.747 n.s. 0.199 n.s. 0.651 n.s.
7 Dry Content (%) 0.747 n.s. 0.199 n.s. 0.651 n.s.</code></pre>
</div>
</div>
</section>
<section id="exploration-gruppierung-der-variablen-nach-typverteilung" class="slide level2">
<h2><em>Exploration: Gruppierung der Variablen nach Typ/Verteilung</em></h2>
<p>Skalenniveau bestimmt angemessene Statistiken</p>
<p>Typische Skalenniveaus sind</p>
<ul>
<li><p>nominal/kategorial/faktoriell/qualitativ: nur Unterschiede<br>
(Spezies, Augenfarbe, Genotyp, Behandlung)</p></li>
<li><p>geordnete Kategorien: wenige Gruppen/Werte mit natürlicher Rangodnung<br>
(Qualität schlecht<mittel<gut, Schmerz zwischen 0 und 10)</p></li>
<li><p>ordinale Messwerte: viele unterschiedliche Werte, natürliche Rangordnung, keine Annahme über die Verteilung (Zufriedenheit auf Skala von 0 bis 100, Blutverlust)</p></li>
<li><p>Messwerte mit Normalverteilung</p></li>
<li><p>möglicherweise auch Messwerte mit anderen bekannten Verteilungen<br>
(beta, log-normal, poisson…), oft einfach als ordinal analysiert</p></li>
</ul>
</section>
<section id="type-entscheidung-dokumentieren-reproduzierbar" class="slide level2">
<h2><em>Type Entscheidung dokumentieren / reproduzierbar</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb19"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb19-1"><a href=""></a>gaussvars <span class="ot"><-</span> <span class="fu">ColSeeker</span>(<span class="at">data=</span>rawdata,<span class="at">namepattern =</span> <span class="fu">c</span>(<span class="st">'Weight'</span>,<span class="st">'Content'</span>))</span>
<span id="cb19-2"><a href=""></a>gaussvars</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>$index
[1] 3 4 5 6 7 8 9
$names
[1] "Weight Of Empty Cup" "Weight Of Cup + Sample"
[3] "Weight Of Cup + Sample After Drying" "Weight Of Sample Before Drying"
[5] "Weight Of Sample After Drying" "Moisture Content (%)"
[7] "Dry Content (%)"
$bticked
[1] "`Weight Of Empty Cup`"
[2] "`Weight Of Cup + Sample`"
[3] "`Weight Of Cup + Sample After Drying`"
[4] "`Weight Of Sample Before Drying`"
[5] "`Weight Of Sample After Drying`"
[6] "`Moisture Content (%)`"
[7] "`Dry Content (%)`"
$count
[1] 7</code></pre>
</div>
<div class="sourceCode cell-code" id="cb21"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb21-1"><a href=""></a>ordvars <span class="ot"><-</span> <span class="fu">ColSeeker</span>(<span class="at">namepattern=</span><span class="st">'Weight.+Sample'</span>, <span class="at">exclude =</span> <span class="st">'After'</span>)</span>
<span id="cb21-2"><a href=""></a>ordvars<span class="sc">$</span>names</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] "Weight Of Cup + Sample" "Weight Of Sample Before Drying"</code></pre>
</div>
<div class="sourceCode cell-code" id="cb23"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb23-1"><a href=""></a>factvars <span class="ot"><-</span> <span class="fu">ColSeeker</span>(<span class="at">namepattern=</span><span class="st">'region'</span>,<span class="at">casesensitive =</span> <span class="cn">FALSE</span>)</span>
<span id="cb23-2"><a href=""></a>factvars<span class="sc">$</span>bticked</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] "`Region`" "`Subregion`"</code></pre>
</div>
</div>
</section>
<section id="modellierung" class="slide level2">
<h2>Modellierung</h2>
<h3 id="beschreibende-statistik"><em>Beschreibende Statistik</em></h3>
<ul>
<li><em>mean() / sd() / meansd()</em></li>
<li><em>median() / quantile() / median_quart()</em></li>
<li><em>table() / prop.table() / cat_desc_stats()</em></li>
</ul>
<h3 id="tests"><em>Tests</em></h3>
<ul>
<li><em>t.test() / lm()+[Aa]nova() / compare2numvars()</em></li>
<li><em>wilcox.test()</em></li>
<li><em>fisher.test() / glm(family=binomial)</em></li>
</ul>
</section>
<section id="modellierung-deskriptiv" class="slide level2">
<h2><em>Modellierung: Deskriptiv</em></h2>
<table>
<colgroup>
<col style="width: 50%">
<col style="width: 50%">
</colgroup>
<tbody>
<tr class="odd">
<td><strong>Stichprobengröße n:</strong> pro Variable, wenn fehlende Werte auftreten</td>
<td></td>
</tr>
<tr class="even">
<td><strong>Mittelwert</strong>: zentrale Tendenz, erwarteter <em>typischer</em> Wert</td>
<td><span class="math display">\[\frac{\sum{x}}{n}\]</span></td>
</tr>
<tr class="odd">
<td><strong>Varianz</strong>: Kennwert für Variabiliät/Heterogenität der Daten</td>
<td><span class="math display">\[\frac{\sum{(x-mean)^2}}{n-1}\]</span></td>
</tr>
<tr class="even">
<td><strong>Standardabweichung SD</strong>: <em>typische</em> gewichtete Abweichung vom Mittelwert</td>
<td><span class="math display">\[\sqrt{Var}\]</span></td>
</tr>
</tbody>
</table>
</section>
<section id="section-1" class="slide level2">
<h2></h2>
<table>
<colgroup>
<col style="width: 50%">
<col style="width: 50%">
</colgroup>
<tbody>
<tr class="odd">
<td><strong>Standardfehler des Mittelwerts</strong>: wie zuverlässig ist die Mittelwerts<em>schätzung</em>, was wäre die zu erwartende SD der Mittelwerte aus wiederholten Experimenten?</td>
<td><span class="math display">\[\frac{SD}{\sqrt{n}}\]</span></td>
</tr>
<tr class="even">
<td><strong>Median</strong>: Trennung der unteren/oberen 50% der Daten</td>
<td></td>
</tr>
<tr class="odd">
<td><strong>Quartile</strong>: Trennung bei 25%/50%/75% der Daten (allgemein: <strong>Quantile</strong>, z.B.<strong>Perzentile</strong>), Grundlage des Boxplot</td>
<td>verschiedene Berechnungsmethoden</td>
</tr>
</tbody>
</table>
</section>
<section id="section-2" class="slide level2">
<h2></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb25"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb25-1"><a href=""></a>desc_gauss <span class="ot"><-</span> rawdata <span class="sc">|></span> </span>
<span id="cb25-2"><a href=""></a> <span class="fu">summarize</span>(<span class="fu">across</span>(<span class="at">.cols =</span> gaussvars<span class="sc">$</span>names,</span>
<span id="cb25-3"><a href=""></a> <span class="at">.fns =</span> meansd))</span>
<span id="cb25-4"><a href=""></a>desc_gauss</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 1 × 7
`Weight Of Empty Cup` `Weight Of Cup + Sample` Weight Of Cup + Sample After …¹
<chr> <chr> <chr>
1 4.1 ± 0.1 9.2 ± 0.2 4.6 ± 0.1
# ℹ abbreviated name: ¹`Weight Of Cup + Sample After Drying`
# ℹ 4 more variables: `Weight Of Sample Before Drying` <chr>,
# `Weight Of Sample After Drying` <chr>, `Moisture Content (%)` <chr>,
# `Dry Content (%)` <chr></code></pre>
</div>
<div class="sourceCode cell-code" id="cb27"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb27-1"><a href=""></a>desc_ord <span class="ot"><-</span> rawdata <span class="sc">|></span> </span>
<span id="cb27-2"><a href=""></a> <span class="fu">summarize</span>(<span class="fu">across</span>(ordvars<span class="sc">$</span>names,<span class="at">.fns=</span><span class="sc">~</span><span class="fu">median_quart</span>(.x,<span class="at">roundDig =</span> <span class="dv">3</span>))) <span class="sc">|></span> </span>
<span id="cb27-3"><a href=""></a> <span class="fu">pivot_longer</span>(<span class="fu">everything</span>(),</span>
<span id="cb27-4"><a href=""></a> <span class="at">names_to =</span> <span class="st">'Measure'</span>, <span class="at">values_to =</span> <span class="st">'Median[1Q/3Q]'</span>)</span>
<span id="cb27-5"><a href=""></a>desc_ord</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 2 × 2
Measure `Median[1Q/3Q]`
<chr> <chr>
1 Weight Of Cup + Sample 9.25 (9.22/9.29)
2 Weight Of Sample Before Drying 5.14 (5.09/5.18)</code></pre>
</div>
</div>
</section>
<section id="deskriptive-statistik-sollte-zu-verteilung-und-daten-passen" class="slide level2">
<h2>Deskriptive Statistik sollte zu Verteilung und Daten passen</h2>
<img data-src="Figures/MeanMedian.jpg" class="quarto-figure quarto-figure-center r-stretch"></section>
<section id="modellierung-tests" class="slide level2">
<h2><em>Modellierung: Tests</em></h2>
<p>Tests benötigen Hypothesen</p>
<img data-src="Figures/guestimate.gif" class="quarto-figure quarto-figure-center r-stretch"></section>
<section id="nullhypothese" class="slide level2">
<h2>Nullhypothese ?</h2>
<ul>
<li><p>Arbeitshypothese: Üblicherweise ein erwarteter Effekt!<br>
z.B. Behandlung senkt den Blutdruck stärker als ein Placebo, transgene Tiere werden adipös, Bioreaktor A ist effizienter als B, Konzentration einer Substanz ist korreliert mit der Reaktionsgeschwindigkeit …</p></li>
<li><p>Nullhypothese: Dies wird getestet!<br>
Kein Unterschied / Zusammenhang, Blutdruck unter Therapie = BD unter Placebo</p></li>
</ul>
</section>
<section id="möglichkeiten" class="slide level2">
<h2>4 Möglichkeiten:</h2>
<ul>
<li><p>Nullhypothese korrekt, Test falsch positiv (Fall A): alpha-Fehler</p></li>
<li><p>Nullhypothese korrekt, Test korrekt negativ (Fall B)</p></li>
<li><p>Nullhypothese falsch, Test falsch negativ (Fall C): beta-Fehler</p></li>
<li><p>Nullhypothese falsch, Test korrekt positiv (Fall D)</p></li>
</ul>
<p><strong>Signifikanz</strong>: NICHT Wahrscheinlichkeit von Fall A, sondern Wahrscheinlichkeit der Daten/beobachteten Effekte unter Annahme der NULLhypothese, berechnet aus den Daten, üblicherweise<0.05</p>
<p><strong>Power</strong>: Wahrscheinlichkeit von Fall D, falls Nullhyothese falsch ist; <em>geschätzt</em> aus Annahmen zu Effektstärke, Variabilitäten und Fallzahl, <em>Berechnung</em> würde Wissen um wahre Unterschiede voraussetzen, üblicherweise = 0.80; daraus leitet sich beta-Fehler-Wahrscheinlichkeit von 0.20 ab!</p>
</section>
<section id="testfunktionen" class="slide level2">
<h2>Testfunktionen</h2>
<h3 id="t-test-wilcoxon-test-aka-mann-whitney-u-test">t-Test / Wilcoxon-Test (aka Mann-Whitney U-test)</h3>
<img data-src="Figures/MeanDiff.png" class="quarto-figure quarto-figure-center r-stretch" width="800"></section>
<section id="t-test" class="slide level2">
<h2>t-Test</h2>
<ul>
<li><p>Voraussetzung: Kontinuierliche Daten mit Normalverteilung</p></li>
<li><p>1 or 2 (unabhängige or abhängige) Stichproben mit/ohne gleiche Varianzen</p></li>
<li><p>wie groß ist der Mittelwertsunterschied relativ zur Unsicherheit der Mittelwerte?<br>
t = (mean<sub>1</sub> - mean<sub>2</sub>)/SEM</p></li>
<li><p>t folgt einer t-Verteilung, das erlaubt die Schätzung der Wahrscheinlichkeit von t unter der NULLhypothese</p></li>
</ul>
<h3 id="wilcoxon-test">Wilcoxon-test</h3>
<ul>
<li><p>nichtparametrisch, keine Vereilungsannahme</p></li>
<li><p>basiert auf rang-transformierten Daten</p></li>
<li><p>unempfindlich gegen Extremwerte</p></li>
</ul>
</section>
<section id="test-beispiele-einzelne-variablen" class="slide level2">
<h2>Test Beispiele: <em>einzelne Variablen</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb29"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb29-1"><a href=""></a><span class="co">#t-Test with test for equal variances</span></span>
<span id="cb29-2"><a href=""></a>t_out <span class="ot"><-</span> <span class="fu">t.test</span>(<span class="at">formula=</span><span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span><span class="sc">~</span><span class="st">`</span><span class="at">Region</span><span class="st">`</span>, <span class="at">data=</span>rawdata,</span>
<span id="cb29-3"><a href=""></a> <span class="at">var.equal=</span><span class="fu">var.test</span>(</span>
<span id="cb29-4"><a href=""></a> <span class="at">formula=</span><span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span><span class="sc">~</span><span class="st">`</span><span class="at">Region</span><span class="st">`</span>, </span>
<span id="cb29-5"><a href=""></a> <span class="at">data=</span>rawdata)<span class="sc">$</span>p.value<span class="sc">></span>.<span class="dv">05</span>)</span>
<span id="cb29-6"><a href=""></a>t_out</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Welch Two Sample t-test
data: Moisture Content (%) by Region
t = -1.7274, df = 29.239, p-value = 0.09465
alternative hypothesis: true difference in means between group A and group D is not equal to 0
95 percent confidence interval:
-2.9624835 0.2490486
sample estimates:
mean in group A mean in group D
90.31199 91.66870 </code></pre>
</div>
<div class="sourceCode cell-code" id="cb31"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb31-1"><a href=""></a><span class="co">#Wilcoxon-Test</span></span>
<span id="cb31-2"><a href=""></a><span class="fu">wilcox.test</span>(<span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span><span class="sc">~</span><span class="st">`</span><span class="at">Region</span><span class="st">`</span>, </span>
<span id="cb31-3"><a href=""></a> <span class="at">data =</span> rawdata)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Wilcoxon rank sum exact test
data: Moisture Content (%) by Region
W = 107, p-value = 0.7547
alternative hypothesis: true location shift is not equal to 0</code></pre>
</div>
</div>
</section>
<section id="von-t-zu-p" class="slide level2">
<h2>Von t zu p</h2>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-16-1.png" class="r-stretch"></section>
<section id="modellierung-test-2-mehrere-variablen" class="slide level2">
<h2><em>Modellierung: Test 2 / mehrere Variablen</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb33"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb33-1"><a href=""></a>test_gauss <span class="ot"><-</span> <span class="fu">compare2numvars</span>(<span class="at">data =</span> rawdata,</span>
<span id="cb33-2"><a href=""></a> <span class="at">dep_vars =</span> gaussvars<span class="sc">$</span>names,</span>
<span id="cb33-3"><a href=""></a> <span class="at">indep_var =</span> <span class="st">'Region'</span>,</span>
<span id="cb33-4"><a href=""></a> <span class="at">gaussian =</span> <span class="cn">TRUE</span>,</span>
<span id="cb33-5"><a href=""></a> <span class="at">round_p =</span> <span class="dv">5</span>)</span>
<span id="cb33-6"><a href=""></a>test_gauss <span class="sc">|></span> <span class="fu">flextable</span>()<span class="sc">|></span> </span>
<span id="cb33-7"><a href=""></a> <span class="fu">theme_zebra</span>(<span class="at">even_body =</span> <span class="st">'aquamarine'</span>,<span class="at">odd_body =</span> <span class="st">'antiquewhite'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output-display">
<div class="tabwid"><style>.cl-298495c2{table-layout:auto;}.cl-297e22be{font-family:'Roboto';font-size:18pt;font-weight:bold;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-297e22c8{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-29815132{margin:0;text-align:left;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-29816870{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2981687a{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2981687b{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}</style><table data-quarto-disable-processing="true" class="cl-298495c2"><thead><tr style="overflow-wrap:break-word;"><th class="cl-29816870"><p class="cl-29815132"><span class="cl-297e22be">Variable</span></p></th><th class="cl-29816870"><p class="cl-29815132"><span class="cl-297e22be">desc_all</span></p></th><th class="cl-29816870"><p class="cl-29815132"><span class="cl-297e22be">Region A</span></p></th><th class="cl-29816870"><p class="cl-29815132"><span class="cl-297e22be">Region D</span></p></th><th class="cl-29816870"><p class="cl-29815132"><span class="cl-297e22be">p</span></p></th></tr></thead><tbody><tr style="overflow-wrap:break-word;"><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">Weight Of Empty Cup</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">4.1 ± 0.1</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">4.1 ± 0.0</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">4.2 ± 0.0</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">0.00001</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">Weight Of Cup + Sample</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">9.2 ± 0.2</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">9.2 ± 0.0</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">9.2 ± 0.3</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">0.74227</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">Weight Of Cup + Sample After Drying</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">4.6 ± 0.1</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">4.6 ± 0.2</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">4.6 ± 0.1</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">0.42213</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">Weight Of Sample Before Drying</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">5.1 ± 0.2</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">5.2 ± 0.1</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">5.0 ± 0.3</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">0.12830</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">Weight Of Sample After Drying</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">0.47 ± 0.14</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">0.50 ± 0.16</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">0.42 ± 0.07</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">0.04937</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">Moisture Content (%)</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">91 ± 3</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">90 ± 3</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">92 ± 1</span></p></td><td class="cl-2981687b"><p class="cl-29815132"><span class="cl-297e22c8">0.09465</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">Dry Content (%)</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">9.2 ± 2.7</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">9.7 ± 3.1</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">8.3 ± 1.3</span></p></td><td class="cl-2981687a"><p class="cl-29815132"><span class="cl-297e22c8">0.09465</span></p></td></tr></tbody></table></div>
</div>
</div>
</section>
<section id="section-3" class="slide level2">
<h2></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb34"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb34-1"><a href=""></a>test_ord <span class="ot"><-</span> <span class="fu">compare2numvars</span>(<span class="at">data =</span> rawdata,</span>
<span id="cb34-2"><a href=""></a> <span class="at">dep_vars =</span> ordvars<span class="sc">$</span>names,</span>
<span id="cb34-3"><a href=""></a> <span class="at">indep_var =</span> <span class="st">'Region'</span>,</span>
<span id="cb34-4"><a href=""></a> <span class="at">gaussian =</span> <span class="cn">FALSE</span>,<span class="at">round_desc =</span> <span class="dv">3</span>)</span>
<span id="cb34-5"><a href=""></a>test_ord <span class="sc">|></span> <span class="fu">flextable</span>() <span class="sc">|></span> </span>
<span id="cb34-6"><a href=""></a> <span class="fu">theme_zebra</span>(<span class="at">even_body =</span> <span class="st">'aquamarine'</span>,<span class="at">odd_body =</span> <span class="st">'antiquewhite'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output-display">
<div class="tabwid"><style>.cl-29b65c56{table-layout:auto;}.cl-29998dba{font-family:'Roboto';font-size:18pt;font-weight:bold;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-29998dce{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-299c00d6{margin:0;text-align:left;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-299c147c{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-299c1486{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-299c1490{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}</style><table data-quarto-disable-processing="true" class="cl-29b65c56"><thead><tr style="overflow-wrap:break-word;"><th class="cl-299c147c"><p class="cl-299c00d6"><span class="cl-29998dba">Variable</span></p></th><th class="cl-299c147c"><p class="cl-299c00d6"><span class="cl-29998dba">desc_all</span></p></th><th class="cl-299c147c"><p class="cl-299c00d6"><span class="cl-29998dba">Region A</span></p></th><th class="cl-299c147c"><p class="cl-299c00d6"><span class="cl-29998dba">Region D</span></p></th><th class="cl-299c147c"><p class="cl-299c00d6"><span class="cl-29998dba">p</span></p></th></tr></thead><tbody><tr style="overflow-wrap:break-word;"><td class="cl-299c1486"><p class="cl-299c00d6"><span class="cl-29998dce">Weight Of Cup + Sample</span></p></td><td class="cl-299c1486"><p class="cl-299c00d6"><span class="cl-29998dce">9.25 (9.22/9.29)</span></p></td><td class="cl-299c1486"><p class="cl-299c00d6"><span class="cl-29998dce">9.24 (9.22/9.25)</span></p></td><td class="cl-299c1486"><p class="cl-299c00d6"><span class="cl-29998dce">9.29 (9.27/9.31)</span></p></td><td class="cl-299c1486"><p class="cl-299c00d6"><span class="cl-29998dce">0.003</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-299c1490"><p class="cl-299c00d6"><span class="cl-29998dce">Weight Of Sample Before Drying</span></p></td><td class="cl-299c1490"><p class="cl-299c00d6"><span class="cl-29998dce">5.14 (5.09/5.18)</span></p></td><td class="cl-299c1490"><p class="cl-299c00d6"><span class="cl-29998dce">5.14 (5.13/5.20)</span></p></td><td class="cl-299c1490"><p class="cl-299c00d6"><span class="cl-29998dce">5.09 (5.06/5.13)</span></p></td><td class="cl-299c1490"><p class="cl-299c00d6"><span class="cl-29998dce">0.001</span></p></td></tr></tbody></table></div>
</div>
</div>
</section>
<section id="ergebnisdarstellung" class="slide level2">
<h2>Ergebnisdarstellung</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb35"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb35-1"><a href=""></a><span class="fu">ggplot</span>(rawdata, <span class="fu">aes</span>(<span class="at">x =</span> <span class="st">`</span><span class="at">Region</span><span class="st">`</span>,<span class="at">y =</span> <span class="st">`</span><span class="at">Weight Of Sample Before Drying</span><span class="st">`</span>))<span class="sc">+</span></span>
<span id="cb35-2"><a href=""></a> <span class="fu">geom_boxplot</span>(<span class="at">outlier.alpha =</span> <span class="dv">0</span>)<span class="sc">+</span></span>
<span id="cb35-3"><a href=""></a> <span class="fu">geom_beeswarm</span>(<span class="at">alpha=</span>.<span class="dv">7</span>, <span class="at">size=</span><span class="dv">2</span>,<span class="at">cex =</span> <span class="dv">2</span>, <span class="at">color=</span><span class="st">"darkorange"</span>)<span class="sc">+</span></span>
<span id="cb35-4"><a href=""></a> <span class="fu">annotate</span>(<span class="at">geom =</span> <span class="st">'label'</span>,<span class="at">x=</span><span class="dv">2</span>,<span class="at">y=</span><span class="fl">4.2</span>,</span>
<span id="cb35-5"><a href=""></a> <span class="at">label=</span><span class="st">'Extremwert -> grosse SD -> grosser SEM -> kleine t-Statistik -> hoher p-Wert'</span>,</span>
<span id="cb35-6"><a href=""></a> <span class="at">hjust=</span><span class="fl">0.8</span>,<span class="at">vjust=</span><span class="dv">0</span>)<span class="sc">+</span></span>
<span id="cb35-7"><a href=""></a> <span class="fu">geom_signif</span>(<span class="at">comparisons =</span> <span class="fu">list</span>(<span class="fu">c</span>(<span class="dv">1</span>,<span class="dv">2</span>)),</span>
<span id="cb35-8"><a href=""></a> <span class="at">annotations =</span> <span class="fu">paste</span>(<span class="st">'p'</span>,<span class="fu">formatP</span>(t_out<span class="sc">$</span>p.value)))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-20-1.png" class="r-stretch"></section>
<section id="umentscheidung-bei-testauswahl" class="slide level2">
<h2>Umentscheidung bei Testauswahl?</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb36"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb36-1"><a href=""></a><span class="fu">ggplot</span>(rawdata, <span class="fu">aes</span>(<span class="at">x =</span> <span class="st">`</span><span class="at">Region</span><span class="st">`</span>,<span class="at">y =</span> <span class="st">`</span><span class="at">Weight Of Sample Before Drying</span><span class="st">`</span>))<span class="sc">+</span></span>
<span id="cb36-2"><a href=""></a> <span class="fu">geom_boxplot</span>(<span class="at">outlier.alpha =</span> <span class="dv">0</span>)<span class="sc">+</span></span>
<span id="cb36-3"><a href=""></a> <span class="fu">geom_beeswarm</span>(<span class="at">alpha=</span>.<span class="dv">7</span>, <span class="at">size=</span><span class="dv">2</span>,<span class="at">cex =</span> <span class="dv">2</span>, <span class="at">color=</span><span class="st">"darkorange"</span>)<span class="sc">+</span></span>
<span id="cb36-4"><a href=""></a> <span class="fu">geom_signif</span>(<span class="at">comparisons =</span> <span class="fu">list</span>(<span class="fu">c</span>(<span class="dv">1</span>,<span class="dv">2</span>)),<span class="at">test =</span> wilcox.test)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-21-1.png" class="r-stretch"></section>
<section id="modellierung-lineare-modelle-1-univariable" class="slide level2">
<h2><em>Modellierung: lineare Modelle 1 / univariable</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb37"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb37-1"><a href=""></a>plottmp <span class="ot"><-</span> <span class="fu">ggplot</span>(rawdata,<span class="fu">aes</span>(Subregion,<span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>))<span class="sc">+</span></span>
<span id="cb37-2"><a href=""></a> <span class="fu">geom_violin</span>(<span class="at">draw_quantiles =</span> <span class="fu">c</span>(.<span class="dv">25</span>,.<span class="dv">5</span>,.<span class="dv">75</span>))<span class="sc">+</span></span>
<span id="cb37-3"><a href=""></a> <span class="fu">geom_beeswarm</span>(<span class="at">color=</span><span class="st">"darkorange"</span>)<span class="sc">+</span></span>
<span id="cb37-4"><a href=""></a> </span>
<span id="cb37-5"><a href=""></a> <span class="fu">ggtitle</span>(<span class="st">'Sind alle Teilregionen gleich?'</span>)</span>
<span id="cb37-6"><a href=""></a><span class="fu">print</span>(plottmp)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-22-1.png" class="r-stretch"></section>
<section id="anova-modellbildung" class="slide level2">
<h2>ANOVA: Modellbildung</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb38"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb38-1"><a href=""></a>rawdata <span class="sc">|></span> <span class="fu">group_by</span>(Subregion) <span class="sc">|></span> </span>
<span id="cb38-2"><a href=""></a> <span class="fu">summarize</span>(<span class="at">MeanMoisture=</span><span class="fu">mean</span>(<span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>) <span class="sc">|></span> <span class="fu">roundR</span>(<span class="dv">4</span>)) <span class="sc">|></span> </span>
<span id="cb38-3"><a href=""></a> <span class="fu">pivot_wider</span>(<span class="at">names_from =</span> Subregion,<span class="at">values_from =</span> MeanMoisture) <span class="sc">|></span> </span>
<span id="cb38-4"><a href=""></a> <span class="fu">rename_with</span>(<span class="sc">~</span><span class="fu">paste</span>(<span class="st">'Mean moisture %</span><span class="sc">\n</span><span class="st">'</span>,.x)) <span class="sc">|></span> <span class="fu">flextable</span>()<span class="sc">|></span></span>
<span id="cb38-5"><a href=""></a> <span class="fu">theme_zebra</span>(<span class="at">even_body =</span> <span class="st">'aquamarine'</span>,<span class="at">odd_body =</span> <span class="st">'antiquewhite'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output-display">
<div class="tabwid"><style>.cl-2a9bdb00{table-layout:auto;}.cl-2a94abe6{font-family:'Roboto';font-size:18pt;font-weight:bold;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2a94abf0{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2a9826f4{margin:0;text-align:left;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-2a9847f6{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2a984800{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}</style><table data-quarto-disable-processing="true" class="cl-2a9bdb00"><thead><tr style="overflow-wrap:break-word;"><th class="cl-2a9847f6"><p class="cl-2a9826f4"><span class="cl-2a94abe6">Mean moisture %</span><br><span class="cl-2a94abe6"> A high</span></p></th><th class="cl-2a9847f6"><p class="cl-2a9826f4"><span class="cl-2a94abe6">Mean moisture %</span><br><span class="cl-2a94abe6"> A low</span></p></th><th class="cl-2a9847f6"><p class="cl-2a9826f4"><span class="cl-2a94abe6">Mean moisture %</span><br><span class="cl-2a94abe6"> D</span></p></th></tr></thead><tbody><tr style="overflow-wrap:break-word;"><td class="cl-2a984800"><p class="cl-2a9826f4"><span class="cl-2a94abf0">93.11</span></p></td><td class="cl-2a984800"><p class="cl-2a9826f4"><span class="cl-2a94abf0">87.23</span></p></td><td class="cl-2a984800"><p class="cl-2a9826f4"><span class="cl-2a94abf0">91.67</span></p></td></tr></tbody></table></div>
</div>
<div class="sourceCode cell-code" id="cb39"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb39-1"><a href=""></a>lm1<span class="ot"><-</span> <span class="fu">lm</span>(<span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span><span class="sc">~</span>Subregion, <span class="at">data=</span>rawdata)</span>
<span id="cb39-2"><a href=""></a>lm1</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Call:
lm(formula = `Moisture Content (%)` ~ Subregion, data = rawdata)
Coefficients:
(Intercept) SubregionA low SubregionD
93.112 -5.879 -1.443 </code></pre>
</div>
</div>
</section>
<section id="anova-p-werte" class="slide level2">
<h2>ANOVA: p-Werte</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb41"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb41-1"><a href=""></a><span class="fu">anova</span>(lm1) <span class="sc">|></span> broom<span class="sc">::</span><span class="fu">tidy</span>() <span class="sc">|></span> <span class="fu">flextable</span>()<span class="sc">|></span> </span>
<span id="cb41-2"><a href=""></a> <span class="fu">theme_zebra</span>(<span class="at">even_body =</span> <span class="st">'aquamarine'</span>,<span class="at">odd_body =</span> <span class="st">'antiquewhite'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output-display">
<div class="tabwid"><style>.cl-2ab5f170{table-layout:auto;}.cl-2ab02a88{font-family:'Roboto';font-size:18pt;font-weight:bold;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2ab02a92{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2ab2e76e{margin:0;text-align:left;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-2ab2e778{margin:0;text-align:right;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-2ab2fb6e{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2ab2fb6f{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2ab2fb78{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2ab2fb79{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2ab2fb7a{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2ab2fb82{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}</style><table data-quarto-disable-processing="true" class="cl-2ab5f170"><thead><tr style="overflow-wrap:break-word;"><th class="cl-2ab2fb6e"><p class="cl-2ab2e76e"><span class="cl-2ab02a88">term</span></p></th><th class="cl-2ab2fb6f"><p class="cl-2ab2e778"><span class="cl-2ab02a88">df</span></p></th><th class="cl-2ab2fb6f"><p class="cl-2ab2e778"><span class="cl-2ab02a88">sumsq</span></p></th><th class="cl-2ab2fb6f"><p class="cl-2ab2e778"><span class="cl-2ab02a88">meansq</span></p></th><th class="cl-2ab2fb6f"><p class="cl-2ab2e778"><span class="cl-2ab02a88">statistic</span></p></th><th class="cl-2ab2fb6f"><p class="cl-2ab2e778"><span class="cl-2ab02a88">p.value</span></p></th></tr></thead><tbody><tr style="overflow-wrap:break-word;"><td class="cl-2ab2fb78"><p class="cl-2ab2e76e"><span class="cl-2ab02a92">Subregion</span></p></td><td class="cl-2ab2fb79"><p class="cl-2ab2e778"><span class="cl-2ab02a92">2</span></p></td><td class="cl-2ab2fb79"><p class="cl-2ab2e778"><span class="cl-2ab02a92">194.34239</span></p></td><td class="cl-2ab2fb79"><p class="cl-2ab2e778"><span class="cl-2ab02a92">97.1711969</span></p></td><td class="cl-2ab2fb79"><p class="cl-2ab2e778"><span class="cl-2ab02a92">97.76477</span></p></td><td class="cl-2ab2fb79"><p class="cl-2ab2e778"><span class="cl-2ab02a92">0.0000000000001292127</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2ab2fb7a"><p class="cl-2ab2e76e"><span class="cl-2ab02a92">Residuals</span></p></td><td class="cl-2ab2fb82"><p class="cl-2ab2e778"><span class="cl-2ab02a92">29</span></p></td><td class="cl-2ab2fb82"><p class="cl-2ab2e778"><span class="cl-2ab02a92">28.82393</span></p></td><td class="cl-2ab2fb82"><p class="cl-2ab2e778"><span class="cl-2ab02a92">0.9939285</span></p></td><td class="cl-2ab2fb82"><p class="cl-2ab2e778"><span class="cl-2ab02a92"></span></p></td><td class="cl-2ab2fb82"><p class="cl-2ab2e778"><span class="cl-2ab02a92"></span></p></td></tr></tbody></table></div>
</div>
<div class="sourceCode cell-code" id="cb42"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb42-1"><a href=""></a><span class="co">#post-hoc</span></span>
<span id="cb42-2"><a href=""></a>(posthoc_out <span class="ot"><-</span> <span class="fu">pairwise.t.test</span>(<span class="at">x =</span> rawdata<span class="sc">$</span><span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>, </span>
<span id="cb42-3"><a href=""></a> <span class="at">g =</span> rawdata<span class="sc">$</span>Subregion, </span>
<span id="cb42-4"><a href=""></a> <span class="at">p.adjust.method =</span> <span class="st">'fdr'</span>)<span class="sc">$</span>p.value <span class="sc">|></span> </span>
<span id="cb42-5"><a href=""></a> <span class="fu">formatP</span>(<span class="at">ndigits =</span> <span class="dv">5</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code> A high A low
A low "0.00001" ""
D "0.00201" "0.00001"</code></pre>
</div>
</div>
<!-- ## *Model: linear models 2 / multivariable* -->
</section>
<section id="visualisierung-anova" class="slide level2">
<h2><em>Visualisierung ANOVA</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb44"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb44-1"><a href=""></a><span class="fu">ggplot</span>(rawdata,<span class="fu">aes</span>(Subregion,<span class="st">`</span><span class="at">Moisture Content (%)</span><span class="st">`</span>))<span class="sc">+</span></span>
<span id="cb44-2"><a href=""></a> <span class="fu">geom_violin</span>(<span class="at">draw_quantiles =</span> <span class="fu">c</span>(.<span class="dv">25</span>,.<span class="dv">5</span>,.<span class="dv">75</span>))<span class="sc">+</span></span>
<span id="cb44-3"><a href=""></a> <span class="fu">geom_beeswarm</span>(<span class="at">color=</span><span class="st">"darkorange"</span>)<span class="sc">+</span></span>
<span id="cb44-4"><a href=""></a> <span class="fu">geom_signif</span>(<span class="at">comparisons =</span> <span class="fu">list</span>(<span class="fu">c</span>(<span class="dv">1</span>,<span class="dv">2</span>),<span class="fu">c</span>(<span class="dv">1</span>,<span class="dv">3</span>),<span class="fu">c</span>(<span class="dv">2</span>,<span class="dv">3</span>)),</span>
<span id="cb44-5"><a href=""></a> <span class="at">annotations =</span> <span class="fu">c</span>(posthoc_out[,<span class="dv">1</span>], posthoc_out[<span class="dv">2</span>,<span class="dv">2</span>]),</span>
<span id="cb44-6"><a href=""></a> <span class="at">step_increase =</span> .<span class="dv">25</span>)<span class="sc">+</span></span>
<span id="cb44-7"><a href=""></a> <span class="fu">scale_y_continuous</span>(<span class="at">expand =</span> <span class="fu">expansion</span>(<span class="at">mult =</span> .<span class="dv">1</span>))<span class="sc">+</span></span>
<span id="cb44-8"><a href=""></a> <span class="fu">ggtitle</span>(<span class="st">'Teilregionen sind ungleich'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-26-1.png" class="r-stretch"></section>
<section id="analyse-von-mehr-als-1-zielgröße" class="slide level2">
<h2><em>Analyse von mehr als 1 Zielgröße</em></h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb45"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb45-1"><a href=""></a>test_out <span class="ot"><-</span> <span class="fu">compare_n_numvars</span>(<span class="at">.data=</span>rawdata,</span>
<span id="cb45-2"><a href=""></a> <span class="at">dep_vars=</span>gaussvars<span class="sc">$</span>names,</span>
<span id="cb45-3"><a href=""></a> <span class="at">indep_var=</span><span class="st">'Subregion'</span>,</span>
<span id="cb45-4"><a href=""></a> <span class="at">gaussian=</span><span class="cn">TRUE</span>)</span>
<span id="cb45-5"><a href=""></a>test_out<span class="sc">$</span>results <span class="sc">|></span> </span>
<span id="cb45-6"><a href=""></a> <span class="fu">select</span>(Variable,<span class="fu">contains</span>(<span class="st">"fn"</span>),multivar_p) <span class="sc">|></span> </span>
<span id="cb45-7"><a href=""></a> <span class="fu">rename_with</span>(<span class="sc">~</span><span class="fu">str_remove</span>(.x,<span class="st">" fn"</span>)) <span class="sc">|></span> </span>
<span id="cb45-8"><a href=""></a> <span class="fu">flextable</span>()<span class="sc">|></span> </span>
<span id="cb45-9"><a href=""></a> <span class="fu">theme_zebra</span>(<span class="at">even_body =</span> <span class="st">'aquamarine'</span>,<span class="at">odd_body =</span> <span class="st">'antiquewhite'</span>) <span class="sc">|></span> </span>
<span id="cb45-10"><a href=""></a> <span class="fu">add_footer_lines</span>(</span>
<span id="cb45-11"><a href=""></a> <span class="at">values=</span><span class="st">'b bedeutet Unterschied zu Gruppe 2, c Unterschied zu Gruppe 3'</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output-display">
<div class="tabwid"><style>.cl-2b572d10{table-layout:auto;}.cl-2b51eed6{font-family:'Roboto';font-size:18pt;font-weight:bold;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2b51eee0{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2b5419d6{margin:0;text-align:left;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-2b542ec6{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2b542ed0{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2b542ed1{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2b542ed2{background-color:transparent;vertical-align: middle;border-bottom: 0 solid rgba(255, 255, 255, 0.00);border-top: 0 solid rgba(255, 255, 255, 0.00);border-left: 0 solid rgba(255, 255, 255, 0.00);border-right: 0 solid rgba(255, 255, 255, 0.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}</style><table data-quarto-disable-processing="true" class="cl-2b572d10"><thead><tr style="overflow-wrap:break-word;"><th class="cl-2b542ec6"><p class="cl-2b5419d6"><span class="cl-2b51eed6">Variable</span></p></th><th class="cl-2b542ec6"><p class="cl-2b5419d6"><span class="cl-2b51eed6">Subregion A high</span></p></th><th class="cl-2b542ec6"><p class="cl-2b5419d6"><span class="cl-2b51eed6">Subregion A low</span></p></th><th class="cl-2b542ec6"><p class="cl-2b5419d6"><span class="cl-2b51eed6">Subregion D</span></p></th><th class="cl-2b542ec6"><p class="cl-2b5419d6"><span class="cl-2b51eed6">multivar_p</span></p></th></tr></thead><tbody><tr style="overflow-wrap:break-word;"><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">Weight Of Empty Cup</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">4.1 ± 0.0 c</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">4.1 ± 0.1 c</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">4.2 ± 0.0</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.001</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">Weight Of Cup + Sample</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">9.2 ± 0.0</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">9.2 ± 0.0</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">9.2 ± 0.3</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.894</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">Weight Of Cup + Sample After Drying</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">4.4 ± 0.0 bc</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">4.8 ± 0.1 c</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">4.6 ± 0.1</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.001</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">Weight Of Sample Before Drying</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">5.2 ± 0.0</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">5.1 ± 0.1</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">5.0 ± 0.3</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.095</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">Weight Of Sample After Drying</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.36 ± 0.02 bc</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.66 ± 0.06 c</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.42 ± 0.07</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.001</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">Moisture Content (%)</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">93 ± 0 bc</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">87 ± 1 c</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">92 ± 1</span></p></td><td class="cl-2b542ed1"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.001</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">Dry Content (%)</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">7 ± 0 bc</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">13 ± 1 c</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">8 ± 1</span></p></td><td class="cl-2b542ed0"><p class="cl-2b5419d6"><span class="cl-2b51eee0">0.001</span></p></td></tr></tbody><tfoot><tr style="overflow-wrap:break-word;"><td colspan="5" class="cl-2b542ed2"><p class="cl-2b5419d6"><span class="cl-2b51eee0">b bedeutet Unterschied zu Gruppe 2, c Unterschied zu Gruppe 3</span></p></td></tr></tfoot></table></div>
</div>
</div>
</section>
<section id="regression-scatterplot" class="slide level2">
<h2>Regression: Scatterplot</h2>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-28-1.png" class="r-stretch"></section>
<section id="regression-grundlegender-mechanismus" class="slide level2">
<h2>Regression: Grundlegender <em>Mechanismus</em></h2>
<img data-src="Figures/RegressionSprings.png" class="quarto-figure quarto-figure-center r-stretch"></section>
<section id="regression-statistik" class="slide level2">
<h2>Regression: Statistik</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb46"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb46-1"><a href=""></a>lm_out0 <span class="ot"><-</span> <span class="fu">lm</span>(<span class="st">`</span><span class="at">Weight Of Sample Before Drying</span><span class="st">`</span> <span class="sc">~</span> <span class="st">`</span><span class="at">Weight Of Empty Cup</span><span class="st">`</span>, </span>
<span id="cb46-2"><a href=""></a> <span class="at">data=</span>rawdata)</span>
<span id="cb46-3"><a href=""></a>lm_out0</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Call:
lm(formula = `Weight Of Sample Before Drying` ~ `Weight Of Empty Cup`,
data = rawdata)
Coefficients:
(Intercept) `Weight Of Empty Cup`
10.169 -1.228 </code></pre>
</div>
<div class="sourceCode cell-code" id="cb48"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb48-1"><a href=""></a><span class="co"># filtering outlier</span></span>
<span id="cb48-2"><a href=""></a>lm_out <span class="ot"><-</span> <span class="fu">lm</span>(<span class="st">`</span><span class="at">Weight Of Sample Before Drying</span><span class="st">`</span> <span class="sc">~</span> <span class="st">`</span><span class="at">Weight Of Empty Cup</span><span class="st">`</span>, </span>
<span id="cb48-3"><a href=""></a> <span class="at">data=</span>rawdata <span class="sc">|></span> <span class="fu">filter</span>(<span class="st">`</span><span class="at">Weight Of Sample Before Drying</span><span class="st">`</span><span class="sc">></span><span class="fl">4.5</span>))</span>
<span id="cb48-4"><a href=""></a>lm_out</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>
Call:
lm(formula = `Weight Of Sample Before Drying` ~ `Weight Of Empty Cup`,
data = filter(rawdata, `Weight Of Sample Before Drying` >
4.5))
Coefficients:
(Intercept) `Weight Of Empty Cup`
7.9612 -0.6854 </code></pre>
</div>
</div>
</section>
<section id="regression-visualisierung" class="slide level2">
<h2><em>Regression: Visualisierung</em></h2>
<img data-src="IntroSlides_dt_files/figure-revealjs/unnamed-chunk-30-1.png" class="r-stretch"></section>
<section id="regression-signifikanz" class="slide level2">
<h2>Regression: Signifikanz</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb50"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb50-1"><a href=""></a><span class="fu">anova</span>(lm_out) <span class="sc">|></span> broom<span class="sc">::</span><span class="fu">tidy</span>()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code># A tibble: 2 × 6
term df sumsq meansq statistic p.value
<chr> <int> <dbl> <dbl> <dbl> <dbl>
1 `Weight Of Empty Cup` 1 0.0638 0.0638 42.1 0.000000425
2 Residuals 29 0.0440 0.00152 NA NA </code></pre>
</div>
<div class="sourceCode cell-code" id="cb52"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb52-1"><a href=""></a><span class="fu">model_parameters</span>(lm_out)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>Parameter | Coefficient | SE | 95% CI | t(29) | p
--------------------------------------------------------------------------
(Intercept) | 7.96 | 0.44 | [ 7.07, 8.85] | 18.28 | < .001
Weight Of Empty Cup | -0.69 | 0.11 | [-0.90, -0.47] | -6.49 | < .001</code></pre>
</div>
</div>
</section>
<section id="berichtserstellung" class="slide level2">
<h2><em>Berichtserstellung</em></h2>
<ul>
<li><p><em>RMarkdown und quarto sind mächtige Werkzeuge für Berichte und Präsentationen</em></p></li>
<li><p>Export von Abbildungen: ggsave() / png() / pdf()</p></li>
<li><p>Export von Tabellen: write_xlsx()</p></li>
<li><p><em>Paket flextable bietet viele Möglichkeiten zur Tabellenformatierung</em></p></li>
</ul>
</section>
<section id="flextable-beispiel" class="slide level2">
<h2>Flextable Beispiel</h2>
<div class="cell">
<div class="sourceCode cell-code" id="cb54"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb54-1"><a href=""></a>test_ord <span class="sc">|></span> <span class="fu">select</span>(<span class="sc">-</span>desc_all) <span class="sc">|></span> <span class="fu">rename_with</span>(<span class="sc">~</span><span class="fu">str_remove</span>(.,<span class="st">'Code Of '</span>)) <span class="sc">|></span> </span>
<span id="cb54-2"><a href=""></a> <span class="fu">flextable</span>() <span class="sc">|></span> </span>
<span id="cb54-3"><a href=""></a> <span class="fu">theme_zebra</span>(<span class="at">even_body =</span> <span class="st">'aquamarine'</span>,<span class="at">odd_body =</span> <span class="st">'antiquewhite'</span>)<span class="sc">|></span> </span>
<span id="cb54-4"><a href=""></a> <span class="fu">italic</span>(<span class="sc">~</span>p<span class="sc"><=</span><span class="fl">0.05</span>,<span class="at">j =</span> <span class="dv">1</span>) <span class="sc">|></span> <span class="fu">bg</span>(<span class="sc">~</span>p<span class="sc"><=</span><span class="fl">0.05</span>,<span class="at">j =</span> <span class="dv">4</span>,<span class="at">bg =</span> <span class="st">'yellow'</span>) <span class="sc">|></span> </span>
<span id="cb54-5"><a href=""></a> <span class="fu">set_caption</span>(<span class="st">'Treatment effects, measures following a normal distribution'</span>) <span class="sc">|></span> </span>
<span id="cb54-6"><a href=""></a> <span class="fu">add_footer_lines</span>(<span class="st">'Significance level is set at 0.05'</span>) <span class="sc">|></span> </span>
<span id="cb54-7"><a href=""></a> <span class="fu">fontsize</span>(<span class="at">size =</span> <span class="dv">12</span>,<span class="at">part =</span> <span class="st">'footer'</span>) </span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output-display">
<div class="tabwid"><style>.cl-2caf2e92{table-layout:auto;}.cl-2ca9513e{font-family:'Roboto';font-size:18pt;font-weight:bold;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2ca95148{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:italic;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2ca95149{font-family:'Roboto';font-size:18pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2ca95152{font-family:'Roboto';font-size:12pt;font-weight:normal;font-style:normal;text-decoration:none;color:rgba(0, 0, 0, 1.00);background-color:transparent;}.cl-2cab9ec6{margin:0;text-align:left;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);padding-bottom:0.2pt;padding-top:0.2pt;padding-left:2pt;padding-right:2pt;line-height: 1;background-color:transparent;}.cl-2cabb28a{background-color:rgba(207, 207, 207, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2cabb28b{background-color:rgba(250, 235, 215, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2cabb294{background-color:rgba(255, 255, 0, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2cabb295{background-color:rgba(127, 255, 212, 1.00);vertical-align: middle;border-bottom: 0 solid rgba(0, 0, 0, 1.00);border-top: 0 solid rgba(0, 0, 0, 1.00);border-left: 0 solid rgba(0, 0, 0, 1.00);border-right: 0 solid rgba(0, 0, 0, 1.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}.cl-2cabb296{background-color:transparent;vertical-align: middle;border-bottom: 0 solid rgba(255, 255, 255, 0.00);border-top: 0 solid rgba(255, 255, 255, 0.00);border-left: 0 solid rgba(255, 255, 255, 0.00);border-right: 0 solid rgba(255, 255, 255, 0.00);margin-bottom:0;margin-top:0;margin-left:0;margin-right:0;}</style><table data-quarto-disable-processing="true" class="cl-2caf2e92"><thead><tr style="overflow-wrap:break-word;"><th class="cl-2cabb28a"><p class="cl-2cab9ec6"><span class="cl-2ca9513e">Variable</span></p></th><th class="cl-2cabb28a"><p class="cl-2cab9ec6"><span class="cl-2ca9513e">Region A</span></p></th><th class="cl-2cabb28a"><p class="cl-2cab9ec6"><span class="cl-2ca9513e">Region D</span></p></th><th class="cl-2cabb28a"><p class="cl-2cab9ec6"><span class="cl-2ca9513e">p</span></p></th></tr></thead><tbody><tr style="overflow-wrap:break-word;"><td class="cl-2cabb28b"><p class="cl-2cab9ec6"><span class="cl-2ca95148">Weight Of Cup + Sample</span></p></td><td class="cl-2cabb28b"><p class="cl-2cab9ec6"><span class="cl-2ca95149">9.24 (9.22/9.25)</span></p></td><td class="cl-2cabb28b"><p class="cl-2cab9ec6"><span class="cl-2ca95149">9.29 (9.27/9.31)</span></p></td><td class="cl-2cabb294"><p class="cl-2cab9ec6"><span class="cl-2ca95149">0.003</span></p></td></tr><tr style="overflow-wrap:break-word;"><td class="cl-2cabb295"><p class="cl-2cab9ec6"><span class="cl-2ca95148">Weight Of Sample Before Drying</span></p></td><td class="cl-2cabb295"><p class="cl-2cab9ec6"><span class="cl-2ca95149">5.14 (5.13/5.20)</span></p></td><td class="cl-2cabb295"><p class="cl-2cab9ec6"><span class="cl-2ca95149">5.09 (5.06/5.13)</span></p></td><td class="cl-2cabb294"><p class="cl-2cab9ec6"><span class="cl-2ca95149">0.001</span></p></td></tr></tbody><tfoot><tr style="overflow-wrap:break-word;"><td colspan="4" class="cl-2cabb296"><p class="cl-2cab9ec6"><span class="cl-2ca95152">Significance level is set at 0.05</span></p></td></tr></tfoot></table></div>
</div>
</div>
</section>
<section id="nützliche-werkzeuge" class="slide level2">
<h2>Nützliche Werkzeuge</h2>
<ul>
<li><p>Auswahl Spalten / Zeilen: select() / pull() / filter() / slice()</p></li>
<li><p>Umformatierung von Tabellen breit <–> lang (z.B. für wiederholte Messungen):<br>
pivot_longer()/pivot_wider()</p></li>
<li><p>Reguläre Ausdrücke: str_replace() / str_detect() / str_…</p></li>
<li><p>Zusammenfügen von Textelementen: paste() / str_glue()</p></li>
<li><p>Anwendung von Funktionen: purrr::map_xxx</p></li>
</ul>
</section>
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