update FAQ

FAQ.Rmd

@@ -23,7 +23,7 @@ See the course [syllabus](syllabus.html) for a general outline of the course con
 \  
 
 #### Where is the course held?
-This course will be run entirely online this year. All interactive live sessions will be run using Blackboard Collaborate via [MyAberdeen](https://abdn.blackboard.com/). During these live sessions you will all be working in the main meeting room as you work through the associated course exercises. If you have a question, or get stuck you'll be able to get 1:1 support from one of the course instructors in a smaller breakout group. More information about this setup will be provided during the first session on Monday 12^th^ December 2022.   
+This course will be run entirely online this year. All interactive live sessions will be run using Blackboard Collaborate via [MyAberdeen](https://abdn.blackboard.com/). During these live sessions you will all be working in the main meeting room as you work through the associated course exercises. If you have a question, or get stuck you'll be able to get 1:1 support from one of the course instructors in a smaller breakout group. More information about this setup will be provided during our first session together.   
 
 <!--
 will be teaching will be held in room FN113 in the Fraser Noble building (building No. 7 on [this map](images/uoa_map.png) on the old Aberdeen campus). For those of you unfamiliar with the Aberdeen campus I have also indicated on the map where you can grab a bite to eat or a caffeine hit!
@@ -37,7 +37,7 @@ will be teaching will be held in room FN113 in the Fraser Noble building (buildi
 No. We will provide desktop computers for those who do not wish to bring their own laptops to the course. All of the desktops will have both R and RStudio already installed but please bring along a USB flash drive to save your work. If you require a desktop computer then please make sure you have registered for a UoA visitor computing account prior to the start of the course (contact [Izzie Buchanan](People.html) for further details). Having said that, if you have a laptop (Mac or Windows) we encourage you to bring it to the course. Please take a look at the **[Setup<i class="fa fa-cog" aria-hidden="true"></i>](setup.html)** link on the navbar at the top for further instructions on how to set up your laptop prior to the course starting.
 -->
 
-Yes. As we'll be running the course online this year you'll need your own computer with internet access. Please take a look at the **[Setup<i class="fa fa-cog" aria-hidden="true"></i>](setup.html)** link on the navbar at the top for further instructions on how to set up your computer prior to the course starting. Don't worry, you don't need a particularly powerful computer to install R and RStudio so anything from the last 5 years or so should be fine. What you will need is a reasonably stable internet connection to participate in the live Blackboard Collaborate sessions. If you think that your internet connection may not be up to it then please contact [Izzie](People.html) to discuss alternatives.
+Yes. As we'll be running the course online you'll need your own computer with internet access. Please take a look at the **[Setup<i class="fa fa-cog" aria-hidden="true"></i>](setup.html)** link on the navbar at the top for further instructions on how to set up your computer prior to the course starting. Don't worry, you don't need a particularly powerful computer to install R and RStudio so anything from the last 5 years or so should be fine. What you will need is a reasonably stable internet connection to participate in the live Blackboard Collaborate sessions. If you think that your internet connection may not be up to it then please [contact us](People.html) to discuss alternatives.
 
 \  
 

FAQ.html

@@ -511,8 +511,7 @@ <h4>Where is the course held?</h4>
 through the associated course exercises. If you have a question, or get
 stuck you’ll be able to get 1:1 support from one of the course
 instructors in a smaller breakout group. More information about this
-setup will be provided during the first session on Monday
-12<sup>th</sup> December 2022.</p>
+setup will be provided during our first session together.</p>
 <!--
 will be teaching will be held in room FN113 in the Fraser Noble building (building No. 7 on [this map](images/uoa_map.png) on the old Aberdeen campus). For those of you unfamiliar with the Aberdeen campus I have also indicated on the map where you can grab a bite to eat or a caffeine hit!
 -->
@@ -523,17 +522,17 @@ <h4>Do I need my own computer?</h4>
 <!--
 No. We will provide desktop computers for those who do not wish to bring their own laptops to the course. All of the desktops will have both R and RStudio already installed but please bring along a USB flash drive to save your work. If you require a desktop computer then please make sure you have registered for a UoA visitor computing account prior to the start of the course (contact [Izzie Buchanan](People.html) for further details). Having said that, if you have a laptop (Mac or Windows) we encourage you to bring it to the course. Please take a look at the **[Setup<i class="fa fa-cog" aria-hidden="true"></i>](setup.html)** link on the navbar at the top for further instructions on how to set up your laptop prior to the course starting.
 -->
-<p>Yes. As we’ll be running the course online this year you’ll need your
-own computer with internet access. Please take a look at the <strong><a
+<p>Yes. As we’ll be running the course online you’ll need your own
+computer with internet access. Please take a look at the <strong><a
 href="setup.html">Setup<i class="fa fa-cog" aria-hidden="true"></i></a></strong>
 link on the navbar at the top for further instructions on how to set up
 your computer prior to the course starting. Don’t worry, you don’t need
 a particularly powerful computer to install R and RStudio so anything
 from the last 5 years or so should be fine. What you will need is a
 reasonably stable internet connection to participate in the live
 Blackboard Collaborate sessions. If you think that your internet
-connection may not be up to it then please contact <a
-href="People.html">Izzie</a> to discuss alternatives.</p>
+connection may not be up to it then please <a href="People.html">contact
+us</a> to discuss alternatives.</p>
 <p> </p>
 </div>
 <div id="why-are-you-not-teaching-us-tidyverse" class="section level4">

Rmarkdown_intro.html

@@ -36,6 +36,8 @@
 <script src="site_libs/navigation-1.1/codefolding.js"></script>
 <script src="site_libs/kePrint-0.0.1/kePrint.js"></script>
 <link href="site_libs/lightable-0.0.1/lightable.css" rel="stylesheet" />
+<link href="site_libs/bsTable-3.3.7/bootstrapTable.min.css" rel="stylesheet" />
+<script src="site_libs/bsTable-3.3.7/bootstrapTable.js"></script>
 <link href="site_libs/font-awesome-6.4.2/css/all.min.css" rel="stylesheet" />
 <link href="site_libs/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet" />
 <!-- Global site tag (gtag.js) - Google Analytics -->

exercise_3_solution.html

@@ -765,16 +765,18 @@ <h2>Exercise 3: Importing and manipulating dataframes</h2>
 <span id="cb5-8"><a href="#cb5-8" tabindex="-1"></a></span>
 <span id="cb5-9"><a href="#cb5-9" tabindex="-1"></a>whale.subset <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>month <span class="sc">==</span> <span class="st">&quot;October&quot;</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>water.noise <span class="sc">==</span> <span class="st">&quot;low&quot;</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>gradient <span class="sc">&gt;</span> <span class="dv">132</span>, ]</span>
 <span id="cb5-10"><a href="#cb5-10" tabindex="-1"></a></span>
-<span id="cb5-11"><a href="#cb5-11" tabindex="-1"></a>whale.lat.long <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>latitude <span class="sc">&gt;</span> <span class="dv">60</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>latitude <span class="sc">&lt;</span> <span class="dv">61</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>longitude <span class="sc">&gt;</span> <span class="sc">-</span><span class="dv">6</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>longitude <span class="sc">&lt;</span> <span class="sc">-</span><span class="dv">4</span>, ]</span>
-<span id="cb5-12"><a href="#cb5-12" tabindex="-1"></a></span>
-<span id="cb5-13"><a href="#cb5-13" tabindex="-1"></a>whale.nomed <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>water.noise <span class="sc">!=</span> <span class="st">&quot;medium&quot;</span>, ]</span></code></pre></div>
+<span id="cb5-11"><a href="#cb5-11" tabindex="-1"></a>whale.lat.long <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>latitude <span class="sc">&gt;</span> <span class="dv">60</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>latitude <span class="sc">&lt;</span> <span class="dv">61</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>longitude <span class="sc">&gt;</span> <span class="sc">-</span><span class="dv">6</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>longitude <span class="sc">&lt;</span></span>
+<span id="cb5-12"><a href="#cb5-12" tabindex="-1"></a>    <span class="sc">-</span><span class="dv">4</span>, ]</span>
+<span id="cb5-13"><a href="#cb5-13" tabindex="-1"></a></span>
+<span id="cb5-14"><a href="#cb5-14" tabindex="-1"></a>whale.nomed <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>water.noise <span class="sc">!=</span> <span class="st">&quot;medium&quot;</span>, ]</span></code></pre></div>
 <p> </p>
 <p>10. A really neat feature of extracting rows based on conditional
 statements is that you can include R functions within the statement
 itself. To practice this, modify your answer to the gradient question in
 Q9e to use the <code>median()</code> function rather than hard coding
 the value 132.</p>
-<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" tabindex="-1"></a>whale.subset <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>month <span class="sc">==</span> <span class="st">&quot;October&quot;</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>water.noise <span class="sc">==</span> <span class="st">&quot;low&quot;</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>gradient <span class="sc">&gt;</span> <span class="fu">median</span>(whale<span class="sc">$</span>gradient), ]</span></code></pre></div>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" tabindex="-1"></a>whale.subset <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>month <span class="sc">==</span> <span class="st">&quot;October&quot;</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>water.noise <span class="sc">==</span> <span class="st">&quot;low&quot;</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>gradient <span class="sc">&gt;</span> <span class="fu">median</span>(whale<span class="sc">$</span>gradient),</span>
+<span id="cb6-2"><a href="#cb6-2" tabindex="-1"></a>    ]</span></code></pre></div>
 <p> </p>
 <p>11. However, when using functions in conditional statements you need
 to be careful. For example, write some code to extract all rows from the
@@ -786,8 +788,9 @@ <h2>Exercise 3: Importing and manipulating dataframes</h2>
 <div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" tabindex="-1"></a><span class="co"># results in a dataframe filled with NAs.</span></span>
 <span id="cb7-2"><a href="#cb7-2" tabindex="-1"></a>whale.new <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>depth <span class="sc">&gt;</span> <span class="dv">1500</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>number.whales <span class="sc">&gt;</span> <span class="fu">mean</span>(whale<span class="sc">$</span>number.whales), ]</span>
 <span id="cb7-3"><a href="#cb7-3" tabindex="-1"></a></span>
-<span id="cb7-4"><a href="#cb7-4" tabindex="-1"></a><span class="co"># the variable number.whales contains 1 NA value. By default the mean function will return an NA.  use the na.rm argument to ignore NAs</span></span>
-<span id="cb7-5"><a href="#cb7-5" tabindex="-1"></a>whale.new <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>depth <span class="sc">&gt;</span> <span class="dv">1500</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>number.whales <span class="sc">&gt;</span> <span class="fu">mean</span>(whale<span class="sc">$</span>number.whales, <span class="at">na.rm =</span> <span class="cn">TRUE</span>), ]</span></code></pre></div>
+<span id="cb7-4"><a href="#cb7-4" tabindex="-1"></a><span class="co"># the variable number.whales contains 1 NA value. By default the mean function will return an NA.  use</span></span>
+<span id="cb7-5"><a href="#cb7-5" tabindex="-1"></a><span class="co"># the na.rm argument to ignore NAs</span></span>
+<span id="cb7-6"><a href="#cb7-6" tabindex="-1"></a>whale.new <span class="ot">&lt;-</span> whale[whale<span class="sc">$</span>depth <span class="sc">&gt;</span> <span class="dv">1500</span> <span class="sc">&amp;</span> whale<span class="sc">$</span>number.whales <span class="sc">&gt;</span> <span class="fu">mean</span>(whale<span class="sc">$</span>number.whales, <span class="at">na.rm =</span> <span class="cn">TRUE</span>), ]</span></code></pre></div>
 <p> </p>
 <p>12. Although you have concentrated on using the square bracket
 <code>[ ]</code> notation to extract rows and columns from your
@@ -869,12 +872,13 @@ <h2>Exercise 3: Importing and manipulating dataframes</h2>
 rather than the default of 3 decimal places.</p>
 <div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" tabindex="-1"></a><span class="fu">aggregate</span>(whale[, <span class="fu">c</span>(<span class="dv">2</span>, <span class="dv">4</span>, <span class="dv">7</span>, <span class="dv">8</span>)], <span class="at">by =</span> <span class="fu">list</span>(<span class="at">water.noise =</span> whale<span class="sc">$</span>water.noise), mean, <span class="at">na.rm =</span> <span class="cn">TRUE</span>)</span>
 <span id="cb13-2"><a href="#cb13-2" tabindex="-1"></a></span>
-<span id="cb13-3"><a href="#cb13-3" tabindex="-1"></a><span class="fu">aggregate</span>(whale[, <span class="fu">c</span>(<span class="dv">2</span>, <span class="dv">4</span>, <span class="dv">7</span>, <span class="dv">8</span>)], <span class="at">by =</span> <span class="fu">list</span>(<span class="at">water.noise =</span> whale<span class="sc">$</span>water.noise, <span class="at">month =</span> whale<span class="sc">$</span>month), mean, <span class="at">na.rm =</span> <span class="cn">TRUE</span>)</span>
-<span id="cb13-4"><a href="#cb13-4" tabindex="-1"></a></span>
-<span id="cb13-5"><a href="#cb13-5" tabindex="-1"></a><span class="co"># optional question. Need to specify a function &#39;on the fly&#39; using function(x){}</span></span>
-<span id="cb13-6"><a href="#cb13-6" tabindex="-1"></a><span class="fu">aggregate</span>(whale[, <span class="fu">c</span>(<span class="dv">2</span>, <span class="dv">4</span>, <span class="dv">7</span>, <span class="dv">8</span>)], <span class="at">by =</span> <span class="fu">list</span>(<span class="at">water.noise =</span> whale<span class="sc">$</span>water.noise, <span class="at">month =</span> whale<span class="sc">$</span>month), <span class="cf">function</span>(x) {</span>
-<span id="cb13-7"><a href="#cb13-7" tabindex="-1"></a>    <span class="fu">round</span>(<span class="fu">mean</span>(x, <span class="at">na.rm =</span> <span class="cn">TRUE</span>), <span class="at">digits =</span> <span class="dv">2</span>)</span>
-<span id="cb13-8"><a href="#cb13-8" tabindex="-1"></a>})</span></code></pre></div>
+<span id="cb13-3"><a href="#cb13-3" tabindex="-1"></a><span class="fu">aggregate</span>(whale[, <span class="fu">c</span>(<span class="dv">2</span>, <span class="dv">4</span>, <span class="dv">7</span>, <span class="dv">8</span>)], <span class="at">by =</span> <span class="fu">list</span>(<span class="at">water.noise =</span> whale<span class="sc">$</span>water.noise, <span class="at">month =</span> whale<span class="sc">$</span>month), mean,</span>
+<span id="cb13-4"><a href="#cb13-4" tabindex="-1"></a>    <span class="at">na.rm =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb13-5"><a href="#cb13-5" tabindex="-1"></a></span>
+<span id="cb13-6"><a href="#cb13-6" tabindex="-1"></a><span class="co"># optional question. Need to specify a function &#39;on the fly&#39; using function(x){}</span></span>
+<span id="cb13-7"><a href="#cb13-7" tabindex="-1"></a><span class="fu">aggregate</span>(whale[, <span class="fu">c</span>(<span class="dv">2</span>, <span class="dv">4</span>, <span class="dv">7</span>, <span class="dv">8</span>)], <span class="at">by =</span> <span class="fu">list</span>(<span class="at">water.noise =</span> whale<span class="sc">$</span>water.noise, <span class="at">month =</span> whale<span class="sc">$</span>month), <span class="cf">function</span>(x) {</span>
+<span id="cb13-8"><a href="#cb13-8" tabindex="-1"></a>    <span class="fu">round</span>(<span class="fu">mean</span>(x, <span class="at">na.rm =</span> <span class="cn">TRUE</span>), <span class="at">digits =</span> <span class="dv">2</span>)</span>
+<span id="cb13-9"><a href="#cb13-9" tabindex="-1"></a>})</span></code></pre></div>
 <p> </p>
 <p>17. Knowing how many observations are present for each factor level
 (or combinations of factor levels) is useful to determine whether you