update for 2023

alexd106 · Nov 16, 2023 · 2e20387 · 2e20387
1 parent 9bf50a5
commit 2e20387
Show file tree

Hide file tree

Showing 56 changed files with 1,633 additions and 1,619 deletions.
diff --git a/FAQ.html b/FAQ.html
@@ -13,7 +13,7 @@
 
 <title>FAQ</title>
 
-<script src="site_libs/header-attrs-2.17/header-attrs.js"></script>
+<script src="site_libs/header-attrs-2.20/header-attrs.js"></script>
 <script src="site_libs/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <link href="site_libs/bootstrap-3.3.5/css/flatly.min.css" rel="stylesheet" />

diff --git a/Github_intro.html b/Github_intro.html
@@ -13,7 +13,7 @@
 
 <title>Version control with Git and GitHub</title>
 
-<script src="site_libs/header-attrs-2.17/header-attrs.js"></script>
+<script src="site_libs/header-attrs-2.20/header-attrs.js"></script>
 <script src="site_libs/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <link href="site_libs/bootstrap-3.3.5/css/flatly.min.css" rel="stylesheet" />

diff --git a/People.Rmd b/People.Rmd
@@ -19,7 +19,7 @@ knitr::include_graphics("images/alex.png")
 
 \ 
 
-Alex is a Reader in Biostatistics at the University of Aberdeen and has been teaching (and learning) R for the last 17 years. 
+Alex is a Professor of Biostatistics at the University of Aberdeen and has been teaching (and learning) R since version 2.1. 
 
 - Email: a(dot)douglas(at)abdn(dot)ac(dot)uk
 - Web: https://www.abdn.ac.uk/people/a.douglas/

diff --git a/People.html b/People.html
@@ -13,7 +13,7 @@
 
 <title>People</title>
 
-<script src="site_libs/header-attrs-2.17/header-attrs.js"></script>
+<script src="site_libs/header-attrs-2.20/header-attrs.js"></script>
 <script src="site_libs/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <link href="site_libs/bootstrap-3.3.5/css/flatly.min.css" rel="stylesheet" />
@@ -451,8 +451,8 @@ <h4>Alex Douglas</h4>
 <p><img src="images/alex.png" width="200px" style="padding:30px;" /></p>
 </div>
 <p> </p>
-<p>Alex is a Reader in Biostatistics at the University of Aberdeen and
-has been teaching (and learning) R for the last 17 years.</p>
+<p>Alex is a Professor of Biostatistics at the University of Aberdeen
+and has been teaching (and learning) R since version 2.1.</p>
 <ul>
 <li>Email: a(dot)douglas(at)abdn(dot)ac(dot)uk</li>
 <li>Web: <a href="https://www.abdn.ac.uk/people/a.douglas/"

diff --git a/Rmarkdown_ex1.html b/Rmarkdown_ex1.html
diff --git a/Rmarkdown_ex2.html b/Rmarkdown_ex2.html
diff --git a/Rmarkdown_intro.html b/Rmarkdown_intro.html
diff --git a/Tutorials.html b/Tutorials.html
@@ -13,7 +13,7 @@
 
 <title>Tutorials</title>
 
-<script src="site_libs/header-attrs-2.17/header-attrs.js"></script>
+<script src="site_libs/header-attrs-2.20/header-attrs.js"></script>
 <script src="site_libs/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <link href="site_libs/bootstrap-3.3.5/css/flatly.min.css" rel="stylesheet" />

diff --git a/course_code.html b/course_code.html
@@ -13,7 +13,7 @@
 
 <title>Offline exercise solutions</title>
 
-<script src="site_libs/header-attrs-2.17/header-attrs.js"></script>
+<script src="site_libs/header-attrs-2.20/header-attrs.js"></script>
 <script src="site_libs/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <link href="site_libs/bootstrap-3.3.5/css/flatly.min.css" rel="stylesheet" />

diff --git a/data.html b/data.html
@@ -13,7 +13,7 @@
 
 <title>Data</title>
 
-<script src="site_libs/header-attrs-2.17/header-attrs.js"></script>
+<script src="site_libs/header-attrs-2.20/header-attrs.js"></script>
 <script src="site_libs/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <link href="site_libs/bootstrap-3.3.5/css/flatly.min.css" rel="stylesheet" />

diff --git a/exercise_1.Rmd b/exercise_1.Rmd
@@ -72,7 +72,7 @@ Read [Chapter 1](https://intro2r.com/chap1.html) to help you complete the questi
 
 \  
 
-14\.	Let's finish up by creating some additional useful directories in your Project directory. If you've followed the **Data <i class="fa fa-download" aria-hidden="true"></i>** instructions when downloading datasets for this course you will already have a directory called `data` in your Project (if you didn't then take a look at the instructions under **Data <i class="fa fa-download" aria-hidden="true"></i>** to create this directory). Now let's create another directory called `output` where you'll save data files and plots you generate later on during this course. This time, instead of clicking on the 'New Folder' icon in RStudio we'll create a new directory using R code directly in the R console (you can also interact with your computer's operating system in all sorts of useful ways). To do this use the `dir.create()` function to create a directory called `output` (See [Section 1.8](https://intro2r.com/dir-struct.html) of the Introduction to R book for more details). If you fancy it, you can also create a subdirectory in your `output` directory called `figures` to store all your fancy R plots for your thesis. You can list all the files in your directories using the `list.files()` function. Can you figure out how to list the directories as well? (hint: see `?listfiles` or [Section 1.8](https://intro2r.com/dir-struct.html) of the course book).
+14\.	Let's finish up by creating some additional useful directories in your Project directory. If you've followed the **Data <i class="fa fa-download" aria-hidden="true"></i>** instructions when downloading datasets for this course you will already have a directory called `data` in your Project (if you didn't then take a look at the instructions under **Data <i class="fa fa-download" aria-hidden="true"></i>** to create this directory). Now let's create another directory called `output` where you'll save data files and plots you generate later on during this course. This time, instead of clicking on the 'New Folder' icon in RStudio we'll create a new directory using R code directly in the R console (you can also interact with your computer's operating system in all sorts of useful ways). To do this use the `dir.create()` function to create a directory called `output` (See [Section 1.8](https://intro2r.com/dir-struct.html) of the Introduction to R book for more details). If you fancy it, you can also create a subdirectory in your `output` directory called `figures` to store all your fancy R plots for your thesis. You can list all the files in your directories using the `list.files()` function. Can you figure out how to list the directories as well? (hint: see `?list.files` or [Section 1.8](https://intro2r.com/dir-struct.html) of the course book).
 
 \  
 

diff --git a/exercise_1.html b/exercise_1.html
@@ -13,7 +13,7 @@
 
 <title>Exercises</title>
 
-<script src="site_libs/header-attrs-2.17/header-attrs.js"></script>
+<script src="site_libs/header-attrs-2.20/header-attrs.js"></script>
 <script src="site_libs/jquery-3.6.0/jquery-3.6.0.min.js"></script>
 <meta name="viewport" content="width=device-width, initial-scale=1" />
 <link href="site_libs/bootstrap-3.3.5/css/flatly.min.css" rel="stylesheet" />
@@ -612,7 +612,7 @@ <h2>Exercise 1 : Getting to know R and RStudio</h2>
 <code>figures</code> to store all your fancy R plots for your thesis.
 You can list all the files in your directories using the
 <code>list.files()</code> function. Can you figure out how to list the
-directories as well? (hint: see <code>?listfiles</code> or <a
+directories as well? (hint: see <code>?list.files</code> or <a
 href="https://intro2r.com/dir-struct.html">Section 1.8</a> of the course
 book).</p>
 <p> </p>

diff --git a/exercise_1_solution.Rmd b/exercise_1_solution.Rmd
@@ -106,7 +106,7 @@ getwd()    # displays the current working directory
 ```
 \  
 
-14\.	Let's finish up by creating some additional useful directories in your Project directory. If you've followed the **Data <i class="fa fa-download" aria-hidden="true"></i>** instructions when downloading datasets for this course you will already have a directory called `data` in your Project (if you didn't then take a look at the instructions under **Data <i class="fa fa-download" aria-hidden="true"></i>** to create this directory). Now let's create another directory called `output` where you'll save data files and plots you generate later on during this course. This time, instead of clicking on the 'New Folder' icon in RStudio we'll create a new directory using R code directly in the R console (you can also interact with your computer's operating system in all sorts of useful ways). To do this use the `dir.create()` function to create a directory called `output` (See [Section 1.8](https://intro2r.com/dir-struct.html) of the Introduction to R book for more details). If you fancy it, you can also create a subdirectory in your `output` directory called `figures` to store all your fancy R plots for your thesis. You can list all the files in your directories using the `list.files()` function. Can you figure out how to list the directories as well? (hint: see `?listfiles` or [Section 1.8](https://intro2r.com/dir-struct.html) of the course book).
+14\.	Let's finish up by creating some additional useful directories in your Project directory. If you've followed the **Data <i class="fa fa-download" aria-hidden="true"></i>** instructions when downloading datasets for this course you will already have a directory called `data` in your Project (if you didn't then take a look at the instructions under **Data <i class="fa fa-download" aria-hidden="true"></i>** to create this directory). Now let's create another directory called `output` where you'll save data files and plots you generate later on during this course. This time, instead of clicking on the 'New Folder' icon in RStudio we'll create a new directory using R code directly in the R console (you can also interact with your computer's operating system in all sorts of useful ways). To do this use the `dir.create()` function to create a directory called `output` (See [Section 1.8](https://intro2r.com/dir-struct.html) of the Introduction to R book for more details). If you fancy it, you can also create a subdirectory in your `output` directory called `figures` to store all your fancy R plots for your thesis. You can list all the files in your directories using the `list.files()` function. Can you figure out how to list the directories as well? (hint: see `?list.files` or [Section 1.8](https://intro2r.com/dir-struct.html) of the course book).
 
 ```{r Q14}
 dir.create(path = 'data')
-Original file line number
+Diff line change
@@ Expand Up @@
     \
-\.	Let's finish up by creating some additional useful directories in your Project directory. If you've followed the **Data <i class="fa fa-download" aria-hidden="true"></i>** instructions when downloading datasets for this course you will already have a directory called `data` in your Project (if you didn't then take a look at the instructions under **Data <i class="fa fa-download" aria-hidden="true"></i>** to create this directory). Now let's create another directory called `output` where you'll save data files and plots you generate later on during this course. This time, instead of clicking on the 'New Folder' icon in RStudio we'll create a new directory using R code directly in the R console (you can also interact with your computer's operating system in all sorts of useful ways). To do this use the `dir.create()` function to create a directory called `output` (See [Section 1.8](https://intro2r.com/dir-struct.html) of the Introduction to R book for more details). If you fancy it, you can also create a subdirectory in your `output` directory called `figures` to store all your fancy R plots for your thesis. You can list all the files in your directories using the `list.files()` function. Can you figure out how to list the directories as well? (hint: see `?listfiles` or [Section 1.8](https://intro2r.com/dir-struct.html) of the course book).
+\.	Let's finish up by creating some additional useful directories in your Project directory. If you've followed the **Data <i class="fa fa-download" aria-hidden="true"></i>** instructions when downloading datasets for this course you will already have a directory called `data` in your Project (if you didn't then take a look at the instructions under **Data <i class="fa fa-download" aria-hidden="true"></i>** to create this directory). Now let's create another directory called `output` where you'll save data files and plots you generate later on during this course. This time, instead of clicking on the 'New Folder' icon in RStudio we'll create a new directory using R code directly in the R console (you can also interact with your computer's operating system in all sorts of useful ways). To do this use the `dir.create()` function to create a directory called `output` (See [Section 1.8](https://intro2r.com/dir-struct.html) of the Introduction to R book for more details). If you fancy it, you can also create a subdirectory in your `output` directory called `figures` to store all your fancy R plots for your thesis. You can list all the files in your directories using the `list.files()` function. Can you figure out how to list the directories as well? (hint: see `?list.files` or [Section 1.8](https://intro2r.com/dir-struct.html) of the course book).
     \
@@ Expand Down @@