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<section id="домашнее-задание-3" class="level1">
<h1>Домашнее задание 3</h1>
<section id="тема-расчет-описательных-статистик." class="level2">
<h2 class="anchored" data-anchor-id="тема-расчет-описательных-статистик.">Тема: расчет описательных статистик.</h2>
<p>В первых двух заданиях вам необходимо посчитать описательные статистики. Для количественной переменной рассчитайте число наблюдений, среднее, стандартное отклонение, 1-й и 3-й квартили, минимум и максимум. Для категориальной переменной определите абсолютную и относительные частоты.</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Загрузка библиотек</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(dplyr)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'dplyr' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>
Присоединяю пакет: 'dplyr'</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Следующие объекты скрыты от 'package:stats':
filter, lag</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Следующие объекты скрыты от 'package:base':
intersect, setdiff, setequal, union</code></pre>
</div>
<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(ggplot2)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'ggplot2' был собран под R версии 4.3.3</code></pre>
</div>
<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(readxl)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'readxl' был собран под R версии 4.3.3</code></pre>
</div>
<div class="sourceCode cell-code" id="cb10"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(tidyverse)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'tidyverse' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'tibble' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'tidyr' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'readr' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'purrr' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'stringr' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'forcats' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>Warning: пакет 'lubridate' был собран под R версии 4.3.3</code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ forcats 1.0.0 ✔ stringr 1.5.1
✔ lubridate 1.9.3 ✔ tibble 3.2.1
✔ purrr 1.0.2 ✔ tidyr 1.3.1
✔ readr 2.1.5 </code></pre>
</div>
<div class="cell-output cell-output-stderr">
<pre><code>── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors</code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb21"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Чтение и предварительная обработка данных</span></span>
<span id="cb21-2"><a href="#cb21-2" aria-hidden="true" tabindex="-1"></a>pima_data <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="at">path =</span> <span class="st">"data/pima.xlsx"</span>) <span class="sc">%>%</span></span>
<span id="cb21-3"><a href="#cb21-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">na.omit</span>()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</section>
<section id="необходимо-выполнить-следующие-пункты" class="level2">
<h2 class="anchored" data-anchor-id="необходимо-выполнить-следующие-пункты">Необходимо выполнить следующие пункты:</h2>
<ol type="1">
<li>Рассчитайте описательные статистики для переменных glucose, pressure, mass. — 1 балл</li>
</ol>
<div class="cell">
<div class="sourceCode cell-code" id="cb22"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Способ получения описательной статистики</span></span>
<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a><span class="fu">summary</span>(pima_data<span class="sc">$</span>glucose)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code> Min. 1st Qu. Median Mean 3rd Qu. Max.
0.0 99.0 117.0 120.9 140.2 199.0 </code></pre>
</div>
<div class="sourceCode cell-code" id="cb24"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a><span class="fu">summary</span>(pima_data<span class="sc">$</span>pressure)</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> Min. 1st Qu. Median Mean 3rd Qu. Max.
0.00 62.00 72.00 69.11 80.00 122.00 </code></pre>
</div>
<div class="sourceCode cell-code" id="cb26"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" aria-hidden="true" tabindex="-1"></a><span class="fu">summary</span>(pima_data<span class="sc">$</span>mass)</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> Min. 1st Qu. Median Mean 3rd Qu. Max.
0.00 27.30 32.00 31.99 36.60 67.10 </code></pre>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb28"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Функция для расчета описательных статистик</span></span>
<span id="cb28-2"><a href="#cb28-2" aria-hidden="true" tabindex="-1"></a>calculate_descriptive_stats <span class="ot"><-</span> <span class="cf">function</span>(data, variable_name) {</span>
<span id="cb28-3"><a href="#cb28-3" aria-hidden="true" tabindex="-1"></a> data <span class="sc">%>%</span></span>
<span id="cb28-4"><a href="#cb28-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">summarise</span>(</span>
<span id="cb28-5"><a href="#cb28-5" aria-hidden="true" tabindex="-1"></a> <span class="at">count =</span> <span class="fu">n</span>(),</span>
<span id="cb28-6"><a href="#cb28-6" aria-hidden="true" tabindex="-1"></a> <span class="at">mean =</span> <span class="fu">mean</span>({{variable_name}}, <span class="at">na.rm =</span> <span class="cn">TRUE</span>),</span>
<span id="cb28-7"><a href="#cb28-7" aria-hidden="true" tabindex="-1"></a> <span class="at">sd =</span> <span class="fu">sd</span>({{variable_name}}, <span class="at">na.rm =</span> <span class="cn">TRUE</span>),</span>
<span id="cb28-8"><a href="#cb28-8" aria-hidden="true" tabindex="-1"></a> <span class="at">q1 =</span> <span class="fu">quantile</span>({{variable_name}}, <span class="fl">0.25</span>, <span class="at">na.rm =</span> <span class="cn">TRUE</span>),</span>
<span id="cb28-9"><a href="#cb28-9" aria-hidden="true" tabindex="-1"></a> <span class="at">q3 =</span> <span class="fu">quantile</span>({{variable_name}}, <span class="fl">0.75</span>, <span class="at">na.rm =</span> <span class="cn">TRUE</span>),</span>
<span id="cb28-10"><a href="#cb28-10" aria-hidden="true" tabindex="-1"></a> <span class="at">min =</span> <span class="fu">min</span>({{variable_name}}, <span class="at">na.rm =</span> <span class="cn">TRUE</span>),</span>
<span id="cb28-11"><a href="#cb28-11" aria-hidden="true" tabindex="-1"></a> <span class="at">max =</span> <span class="fu">max</span>({{variable_name}}, <span class="at">na.rm =</span> <span class="cn">TRUE</span>)</span>
<span id="cb28-12"><a href="#cb28-12" aria-hidden="true" tabindex="-1"></a> )</span>
<span id="cb28-13"><a href="#cb28-13" aria-hidden="true" tabindex="-1"></a>}</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb29"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Расчет описательных статистик для переменных glucose, pressure, mass</span></span>
<span id="cb29-2"><a href="#cb29-2" aria-hidden="true" tabindex="-1"></a>glucose_stats <span class="ot"><-</span> <span class="fu">calculate_descriptive_stats</span>(pima_data, glucose)</span>
<span id="cb29-3"><a href="#cb29-3" aria-hidden="true" tabindex="-1"></a>pressure_stats <span class="ot"><-</span> <span class="fu">calculate_descriptive_stats</span>(pima_data, pressure)</span>
<span id="cb29-4"><a href="#cb29-4" aria-hidden="true" tabindex="-1"></a>mass_stats <span class="ot"><-</span> <span class="fu">calculate_descriptive_stats</span>(pima_data, mass)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb30"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb30-1"><a href="#cb30-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Вывод результатов</span></span>
<span id="cb30-2"><a href="#cb30-2" aria-hidden="true" tabindex="-1"></a>glucose_stats</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
count mean sd q1 q3 min max
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 768 121. 32.0 99 140. 0 199</code></pre>
</div>
<div class="sourceCode cell-code" id="cb32"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb32-1"><a href="#cb32-1" aria-hidden="true" tabindex="-1"></a>pressure_stats</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
count mean sd q1 q3 min max
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 768 69.1 19.4 62 80 0 122</code></pre>
</div>
<div class="sourceCode cell-code" id="cb34"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb34-1"><a href="#cb34-1" aria-hidden="true" tabindex="-1"></a>mass_stats</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
count mean sd q1 q3 min max
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 768 32.0 7.88 27.3 36.6 0 67.1</code></pre>
</div>
</div>
<ol start="2" type="1">
<li>Рассчитайте описательную статистику для переменной diabetes. Создайте на основе переменной age новую переменную age_group, которая будет отражать следующие возрастные группы: 21–35, 36–49 и 50+. Посчитайте описательную статистику для новой переменной. — 1 балл</li>
</ol>
<div class="cell">
<div class="sourceCode cell-code" id="cb36"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb36-1"><a href="#cb36-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Расчет абсолютной и относительной частоты для diabetes</span></span>
<span id="cb36-2"><a href="#cb36-2" aria-hidden="true" tabindex="-1"></a>diabetes_frequency <span class="ot"><-</span> pima_data <span class="sc">%>%</span></span>
<span id="cb36-3"><a href="#cb36-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">count</span>(diabetes) <span class="sc">%>%</span></span>
<span id="cb36-4"><a href="#cb36-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">percent =</span> n <span class="sc">/</span> <span class="fu">sum</span>(n) <span class="sc">*</span> <span class="dv">100</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="sourceCode cell-code" id="cb37"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb37-1"><a href="#cb37-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Создание переменной age_group</span></span>
<span id="cb37-2"><a href="#cb37-2" aria-hidden="true" tabindex="-1"></a>pima_data <span class="ot"><-</span> pima_data <span class="sc">%>%</span></span>
<span id="cb37-3"><a href="#cb37-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">age_group =</span> <span class="fu">case_when</span>(</span>
<span id="cb37-4"><a href="#cb37-4" aria-hidden="true" tabindex="-1"></a> age <span class="sc">>=</span> <span class="dv">21</span> <span class="sc">&</span> age <span class="sc"><=</span> <span class="dv">35</span> <span class="sc">~</span> <span class="st">'21–35'</span>,</span>
<span id="cb37-5"><a href="#cb37-5" aria-hidden="true" tabindex="-1"></a> age <span class="sc">>=</span> <span class="dv">36</span> <span class="sc">&</span> age <span class="sc"><=</span> <span class="dv">49</span> <span class="sc">~</span> <span class="st">'36–49'</span>,</span>
<span id="cb37-6"><a href="#cb37-6" aria-hidden="true" tabindex="-1"></a> <span class="cn">TRUE</span> <span class="sc">~</span> <span class="st">'50+'</span></span>
<span id="cb37-7"><a href="#cb37-7" aria-hidden="true" tabindex="-1"></a> ))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb38"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb38-1"><a href="#cb38-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Расчет абсолютной и относительной частоты для age_group</span></span>
<span id="cb38-2"><a href="#cb38-2" aria-hidden="true" tabindex="-1"></a>age_group_stats <span class="ot"><-</span> pima_data <span class="sc">%>%</span></span>
<span id="cb38-3"><a href="#cb38-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">count</span>(age_group) <span class="sc">%>%</span></span>
<span id="cb38-4"><a href="#cb38-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">percent =</span> n <span class="sc">/</span> <span class="fu">sum</span>(n) <span class="sc">*</span> <span class="dv">100</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="sourceCode cell-code" id="cb39"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb39-1"><a href="#cb39-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Вывод результатов</span></span>
<span id="cb39-2"><a href="#cb39-2" aria-hidden="true" tabindex="-1"></a>diabetes_frequency</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 × 3
diabetes n percent
<chr> <int> <dbl>
1 neg 500 65.1
2 pos 268 34.9</code></pre>
</div>
<div class="sourceCode cell-code" id="cb41"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb41-1"><a href="#cb41-1" aria-hidden="true" tabindex="-1"></a>age_group_stats</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: 3 × 3
age_group n percent
<chr> <int> <dbl>
1 21–35 498 64.8
2 36–49 181 23.6
3 50+ 89 11.6</code></pre>
</div>
</div>
<ol start="3" type="1">
<li>Определите 90% доверительный интервал для переменной pedigree. — 2 балла</li>
</ol>
<div class="cell">
<div class="sourceCode cell-code" id="cb43"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb43-1"><a href="#cb43-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Расчет доверительного интервала для pedigree</span></span>
<span id="cb43-2"><a href="#cb43-2" aria-hidden="true" tabindex="-1"></a>pedigree_mean <span class="ot"><-</span> <span class="fu">mean</span>(pima_data<span class="sc">$</span>pedigree)</span>
<span id="cb43-3"><a href="#cb43-3" aria-hidden="true" tabindex="-1"></a>pedigree_sd <span class="ot"><-</span> <span class="fu">sd</span>(pima_data<span class="sc">$</span>pedigree)</span>
<span id="cb43-4"><a href="#cb43-4" aria-hidden="true" tabindex="-1"></a>sample_size <span class="ot"><-</span> <span class="fu">nrow</span>(pima_data)</span>
<span id="cb43-5"><a href="#cb43-5" aria-hidden="true" tabindex="-1"></a>z_score <span class="ot"><-</span> <span class="fu">qnorm</span>(<span class="fl">0.95</span>)</span>
<span id="cb43-6"><a href="#cb43-6" aria-hidden="true" tabindex="-1"></a>se <span class="ot"><-</span> pedigree_sd <span class="sc">/</span> <span class="fu">sqrt</span>(sample_size)</span>
<span id="cb43-7"><a href="#cb43-7" aria-hidden="true" tabindex="-1"></a>ci_lower <span class="ot"><-</span> pedigree_mean <span class="sc">-</span> z_score <span class="sc">*</span> se</span>
<span id="cb43-8"><a href="#cb43-8" aria-hidden="true" tabindex="-1"></a>ci_upper <span class="ot"><-</span> pedigree_mean <span class="sc">+</span> z_score <span class="sc">*</span> se</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb44"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb44-1"><a href="#cb44-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Вывод результатов</span></span>
<span id="cb44-2"><a href="#cb44-2" aria-hidden="true" tabindex="-1"></a><span class="fu">cat</span>(<span class="st">"90% доверительный интервал для pedigree:"</span>, ci_lower, <span class="st">"-"</span>, ci_upper, <span class="st">"</span><span class="sc">\n</span><span class="st">"</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>90% доверительный интервал для pedigree: 0.4522108 - 0.4915418 </code></pre>
</div>
</div>
<ol start="4" type="1">
<li>Постройте график плотности вероятности для переменной glucose и отметьте на нем среднее значение. Для той же переменной постройте гистограмму. Постройте два ящика с усами для значений pos и neg соответственно переменной diabetes. — 3 балла</li>
</ol>
<div class="cell">
<div class="sourceCode cell-code" id="cb46"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb46-1"><a href="#cb46-1" aria-hidden="true" tabindex="-1"></a><span class="co"># График плотности с средним значением для glucose</span></span>
<span id="cb46-2"><a href="#cb46-2" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(pima_data, <span class="fu">aes</span>(<span class="at">x =</span> glucose)) <span class="sc">+</span></span>
<span id="cb46-3"><a href="#cb46-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_density</span>(<span class="at">fill =</span> <span class="st">"lightblue"</span>) <span class="sc">+</span></span>
<span id="cb46-4"><a href="#cb46-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_vline</span>(<span class="at">xintercept =</span> <span class="fu">mean</span>(pima_data<span class="sc">$</span>glucose, <span class="at">na.rm =</span> <span class="cn">TRUE</span>), <span class="at">color =</span> <span class="st">"red"</span>, <span class="at">linetype =</span> <span class="st">"dashed"</span>) <span class="sc">+</span></span>
<span id="cb46-5"><a href="#cb46-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">title =</span> <span class="st">"Плотность уровня глюкозы с средним значением"</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>
<figure class="figure">
<p><img src="HW_3_files/figure-html/unnamed-chunk-13-1.png" class="img-fluid figure-img" width="672"></p>
</figure>
</div>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb47"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb47-1"><a href="#cb47-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Гистограмма для glucose</span></span>
<span id="cb47-2"><a href="#cb47-2" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(pima_data, <span class="fu">aes</span>(<span class="at">x =</span> glucose)) <span class="sc">+</span></span>
<span id="cb47-3"><a href="#cb47-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_histogram</span>(<span class="at">binwidth =</span> <span class="dv">10</span>, <span class="at">fill =</span> <span class="st">"lightblue"</span>, <span class="at">color =</span> <span class="st">"blue"</span>) <span class="sc">+</span></span>
<span id="cb47-4"><a href="#cb47-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_vline</span>(<span class="at">xintercept =</span> <span class="fu">mean</span>(pima_data<span class="sc">$</span>glucose, <span class="at">na.rm =</span> <span class="cn">TRUE</span>), <span class="at">color =</span> <span class="st">"red"</span>, <span class="at">linetype =</span> <span class="st">"dashed"</span>) <span class="sc">+</span></span>
<span id="cb47-5"><a href="#cb47-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">title =</span> <span class="st">"Гистограмма уровня глюкозы"</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>
<figure class="figure">
<p><img src="HW_3_files/figure-html/unnamed-chunk-14-1.png" class="img-fluid figure-img" width="672"></p>
</figure>
</div>
</div>
</div>
<div class="cell">
<div class="sourceCode cell-code" id="cb48"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb48-1"><a href="#cb48-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Боксплоты для glucose по группам diabetes</span></span>
<span id="cb48-2"><a href="#cb48-2" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(pima_data, <span class="fu">aes</span>(<span class="at">x =</span> diabetes, <span class="at">y =</span> glucose, <span class="at">fill =</span> diabetes)) <span class="sc">+</span></span>
<span id="cb48-3"><a href="#cb48-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_boxplot</span>() <span class="sc">+</span></span>
<span id="cb48-4"><a href="#cb48-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(<span class="at">title =</span> <span class="st">"Боксплот уровня глюкозы по наличию диабета"</span>, <span class="at">x =</span> <span class="st">"Наличие диабета"</span>, <span class="at">y =</span> <span class="st">"Уровень глюкозы"</span>) <span class="sc">+</span> <span class="fu">theme_minimal</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>
<figure class="figure">
<p><img src="HW_3_files/figure-html/unnamed-chunk-15-1.png" class="img-fluid figure-img" width="672"></p>
</figure>
</div>
</div>
</div>
<ol start="5" type="1">
<li>Постройте на одном графике две диаграммы рассеяния для наличия или отсутствия диабета. По оси X представьте значения обхвата трицепса, а по оси Y — массу тела. Выполните окрашивание, заливку и группирование по переменной diabetes. — 3 балла</li>
</ol>
<div class="cell">
<div class="sourceCode cell-code" id="cb49"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb49-1"><a href="#cb49-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Очистка данных от нулевых значений в triceps и mass</span></span>
<span id="cb49-2"><a href="#cb49-2" aria-hidden="true" tabindex="-1"></a>pima_cleaned <span class="ot"><-</span> pima_data <span class="sc">%>%</span></span>
<span id="cb49-3"><a href="#cb49-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">filter</span>(triceps <span class="sc">!=</span> <span class="dv">0</span>, mass <span class="sc">!=</span> <span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<div class="cell">
<div class="sourceCode cell-code" id="cb50"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb50-1"><a href="#cb50-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Диаграмма рассеяния с окрашиванием и группировкой по diabetes</span></span>
<span id="cb50-2"><a href="#cb50-2" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(pima_cleaned, <span class="fu">aes</span>(<span class="at">x =</span> triceps, <span class="at">y =</span> mass, <span class="at">color =</span> diabetes)) <span class="sc">+</span> </span>
<span id="cb50-3"><a href="#cb50-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">geom_point</span>() <span class="sc">+</span> </span>
<span id="cb50-4"><a href="#cb50-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">facet_grid</span>(. <span class="sc">~</span> diabetes) <span class="sc">+</span> <span class="co"># Разделение графика на подграфики по наличию/отсутствию диабета</span></span>
<span id="cb50-5"><a href="#cb50-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">labs</span>(</span>
<span id="cb50-6"><a href="#cb50-6" aria-hidden="true" tabindex="-1"></a> <span class="at">title =</span> <span class="st">"Взаимосвязь обхвата трицепса и массы тела с учетом наличия диабета"</span>,</span>
<span id="cb50-7"><a href="#cb50-7" aria-hidden="true" tabindex="-1"></a> <span class="at">x =</span> <span class="st">"Обхват трицепса (мм)"</span>,</span>
<span id="cb50-8"><a href="#cb50-8" aria-hidden="true" tabindex="-1"></a> <span class="at">y =</span> <span class="st">"Масса тела"</span></span>
<span id="cb50-9"><a href="#cb50-9" aria-hidden="true" tabindex="-1"></a> ) <span class="sc">+</span></span>
<span id="cb50-10"><a href="#cb50-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">theme_minimal</span>() <span class="sc">+</span></span>
<span id="cb50-11"><a href="#cb50-11" aria-hidden="true" tabindex="-1"></a> <span class="fu">scale_color_manual</span>(<span class="at">values =</span> <span class="fu">c</span>(<span class="st">"pos"</span> <span class="ot">=</span> <span class="st">"red"</span>, <span class="st">"neg"</span> <span class="ot">=</span> <span class="st">"blue"</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>
<figure class="figure">
<p><img src="HW_3_files/figure-html/unnamed-chunk-17-1.png" class="img-fluid figure-img" width="672"></p>
</figure>
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</div>
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// use id or data attribute instead here
let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
try { href = new URL(href).hash; } catch {}
const id = href.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
if (note) {
return note.innerHTML;
} else {
return "";
}
});
}
const xrefs = window.document.querySelectorAll('a.quarto-xref');
const processXRef = (id, note) => {
// Strip column container classes
const stripColumnClz = (el) => {
el.classList.remove("page-full", "page-columns");
if (el.children) {
for (const child of el.children) {
stripColumnClz(child);
}
}
}
stripColumnClz(note)
if (id === null || id.startsWith('sec-')) {
// Special case sections, only their first couple elements
const container = document.createElement("div");
if (note.children && note.children.length > 2) {
container.appendChild(note.children[0].cloneNode(true));
for (let i = 1; i < note.children.length; i++) {
const child = note.children[i];
if (child.tagName === "P" && child.innerText === "") {
continue;
} else {
container.appendChild(child.cloneNode(true));
break;
}
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(container);
}
return container.innerHTML
} else {
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
return note.innerHTML;
}
} else {
// Remove any anchor links if they are present
const anchorLink = note.querySelector('a.anchorjs-link');
if (anchorLink) {
anchorLink.remove();
}
if (window.Quarto?.typesetMath) {
window.Quarto.typesetMath(note);
}
// TODO in 1.5, we should make sure this works without a callout special case
if (note.classList.contains("callout")) {
return note.outerHTML;
} else {
return note.innerHTML;
}
}
}
for (var i=0; i<xrefs.length; i++) {
const xref = xrefs[i];
tippyHover(xref, undefined, function(instance) {
instance.disable();
let url = xref.getAttribute('href');
let hash = undefined;
if (url.startsWith('#')) {
hash = url;
} else {
try { hash = new URL(url).hash; } catch {}
}
if (hash) {
const id = hash.replace(/^#\/?/, "");
const note = window.document.getElementById(id);
if (note !== null) {
try {
const html = processXRef(id, note.cloneNode(true));
instance.setContent(html);
} finally {
instance.enable();
instance.show();
}
} else {
// See if we can fetch this
fetch(url.split('#')[0])
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.getElementById(id);
if (note !== null) {
const html = processXRef(id, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
} else {
// See if we can fetch a full url (with no hash to target)
// This is a special case and we should probably do some content thinning / targeting
fetch(url)
.then(res => res.text())
.then(html => {
const parser = new DOMParser();
const htmlDoc = parser.parseFromString(html, "text/html");
const note = htmlDoc.querySelector('main.content');
if (note !== null) {
// This should only happen for chapter cross references
// (since there is no id in the URL)
// remove the first header
if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
note.children[0].remove();
}
const html = processXRef(null, note);
instance.setContent(html);
}
}).finally(() => {
instance.enable();
instance.show();
});
}
}, function(instance) {
});
}
let selectedAnnoteEl;
const selectorForAnnotation = ( cell, annotation) => {
let cellAttr = 'data-code-cell="' + cell + '"';
let lineAttr = 'data-code-annotation="' + annotation + '"';
const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
return selector;
}
const selectCodeLines = (annoteEl) => {
const doc = window.document;
const targetCell = annoteEl.getAttribute("data-target-cell");
const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
const lines = annoteSpan.getAttribute("data-code-lines").split(",");
const lineIds = lines.map((line) => {
return targetCell + "-" + line;
})
let top = null;
let height = null;
let parent = null;
if (lineIds.length > 0) {
//compute the position of the single el (top and bottom and make a div)
const el = window.document.getElementById(lineIds[0]);
top = el.offsetTop;
height = el.offsetHeight;
parent = el.parentElement.parentElement;
if (lineIds.length > 1) {
const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
const bottom = lastEl.offsetTop + lastEl.offsetHeight;
height = bottom - top;
}
if (top !== null && height !== null && parent !== null) {
// cook up a div (if necessary) and position it
let div = window.document.getElementById("code-annotation-line-highlight");
if (div === null) {
div = window.document.createElement("div");
div.setAttribute("id", "code-annotation-line-highlight");
div.style.position = 'absolute';
parent.appendChild(div);
}
div.style.top = top - 2 + "px";
div.style.height = height + 4 + "px";
div.style.left = 0;
let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
if (gutterDiv === null) {
gutterDiv = window.document.createElement("div");
gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
gutterDiv.style.position = 'absolute';
const codeCell = window.document.getElementById(targetCell);
const gutter = codeCell.querySelector('.code-annotation-gutter');
gutter.appendChild(gutterDiv);
}
gutterDiv.style.top = top - 2 + "px";
gutterDiv.style.height = height + 4 + "px";
}
selectedAnnoteEl = annoteEl;
}
};
const unselectCodeLines = () => {
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
elementsIds.forEach((elId) => {
const div = window.document.getElementById(elId);
if (div) {
div.remove();
}
});
selectedAnnoteEl = undefined;
};
// Handle positioning of the toggle
window.addEventListener(
"resize",
throttle(() => {
elRect = undefined;
if (selectedAnnoteEl) {
selectCodeLines(selectedAnnoteEl);
}
}, 10)
);
function throttle(fn, ms) {
let throttle = false;
let timer;
return (...args) => {
if(!throttle) { // first call gets through
fn.apply(this, args);
throttle = true;
} else { // all the others get throttled
if(timer) clearTimeout(timer); // cancel #2
timer = setTimeout(() => {
fn.apply(this, args);
timer = throttle = false;
}, ms);
}
};
}
// Attach click handler to the DT
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
for (const annoteDlNode of annoteDls) {
annoteDlNode.addEventListener('click', (event) => {
const clickedEl = event.target;
if (clickedEl !== selectedAnnoteEl) {
unselectCodeLines();
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
if (activeEl) {
activeEl.classList.remove('code-annotation-active');
}
selectCodeLines(clickedEl);
clickedEl.classList.add('code-annotation-active');
} else {
// Unselect the line
unselectCodeLines();
clickedEl.classList.remove('code-annotation-active');
}
});
}
const findCites = (el) => {
const parentEl = el.parentElement;
if (parentEl) {
const cites = parentEl.dataset.cites;
if (cites) {
return {
el,
cites: cites.split(' ')
};
} else {
return findCites(el.parentElement)
}
} else {
return undefined;
}
};
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
for (var i=0; i<bibliorefs.length; i++) {
const ref = bibliorefs[i];
const citeInfo = findCites(ref);
if (citeInfo) {
tippyHover(citeInfo.el, function() {
var popup = window.document.createElement('div');
citeInfo.cites.forEach(function(cite) {
var citeDiv = window.document.createElement('div');
citeDiv.classList.add('hanging-indent');
citeDiv.classList.add('csl-entry');
var biblioDiv = window.document.getElementById('ref-' + cite);
if (biblioDiv) {
citeDiv.innerHTML = biblioDiv.innerHTML;
}
popup.appendChild(citeDiv);
});
return popup.innerHTML;
});
}
}
});
</script>
</div> <!-- /content -->
</body></html>