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<h1 class="title toc-ignore">FAQ</h1>
</div>
<p> </p>
<div id="how-do-i-use-this-website" class="section level4">
<h4>How do I use this website?</h4>
<p>How you use this website to support your learning and understanding
of R is of course up to you. Having said that here are few pointers that
have worked for people in the past. The first thing you will need to do
is download and install both R and RStudio on your computer. Take a look
at the <strong><i class="fa fa-cog" aria-hidden="true"></i>
Setup</strong> link on the navbar at the top of this page for further
instructions on how to set up your computer and download the required
datasets. At the heart of this course is our ‘Introduction to R book’
which you can find by clicking on the
<strong><i class="fa fa-book" aria-hidden="true"></i> R Book</strong>
link in the navbar. The book is split into 9 Chapters which cover
different aspects of using R and RStudio, from general orientation,
basic R operations, importing and manipulating data, plotting data,
programming in R, R markdown and using version control. You can test
your understanding of each of these components by completing the
associated exercises which you can find by clicking on
<strong><i class="fa fa-file-contract" aria-hidden="true"></i>
Exercises</strong>. You will also find the solutions to the exercises
here but we suggest that you don’t peek at the solutions too quickly and
only use them to confirm your answers or if you get stuck and feel like
throwing your keyboard out of the window! There are also some additional
resources such as lecture slides we use during our in person courses,
short how-to videos walking you through some important topics which you
can find in the
<strong><i class="fa fa-university" aria-hidden="true"></i> Learn
R</strong> link. We’ve also created some stand alone tutorials covering
topics such as RStudio Projects, R markdown and version control using
Git and GitHub which can be found under the
<strong><i class="fa fa-desktop" aria-hidden="true"></i>
Tutorials</strong> link. We suggest that you take a look at the
tutorials once you’ve finished the core part of this course.</p>
<p> </p>
</div>
<div id="what-are-the-pre-requisites-for-this-course"
class="section level4">
<h4>What are the pre-requisites for this course?</h4>
<p>This course assumes no previous experience or knowledge of using
either R or RStudio. It also doesn’t assume any knowledge of programming
or using a command-line interface, but if you have some experience, the
content won’t come as so much of a shock. But don’t panic. Command-line
interfaces and programming languages like R are incredibly powerful and
will be utterly transformative to your research. There’s a learning
curve, and it’s pretty steep in the beginning, but it’s surmountable and
the payoff is worth it!</p>
<p> </p>
</div>
<div id="what-is-the-course-timetable" class="section level4">
<h4>What is the course timetable?</h4>
<p>See the course <a href="syllabus.html">syllabus</a> for a general
outline of the course content and timing. The course will start at 09:30
each morning and finish at 17:00. We will break for a one hour lunch
break around 12:30. However, everyone learns R in their own way and at
their own pace so this syllabus should be treated as indicative rather
than absolute. There will also be plenty of opportunities to take short
breaks during the course and we will also have a couple of 30 minute
sessions on robust and reproducible research practices.</p>
<p> </p>
</div>
<div id="where-is-the-course-held" class="section level4">
<h4>Where is the course held?</h4>
<p>This course will be run entirely online this year. All interactive
live sessions will be run using Blackboard Collaborate via <a
href="https://abdn.blackboard.com/">MyAberdeen</a>. 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.</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!
-->
<p> </p>
</div>
<div id="do-i-need-my-own-computer" class="section level4">
<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 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 <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">
<h4>Why are you not teaching us ‘tidyverse’?</h4>
<p>We have thought long and hard about whether to teach this course
using the <a href="https://www.tidyverse.org/"
target="_blank">‘tidyverse’</a> collection of packages and approaches
(if you’ve never heard of ‘tidyverse’ before then don’t worry about
it!). In a perfect world we would have sufficient time to teach you both
base R and ‘tidyverse’, however we only have 3 days together and this is
not really enough time to cover both topics in sufficient detail. In the
end we decided that it was more important that by the end of the course
you have a good fundamental grasp of base R which will provide you with
the foundation to go on and learn ‘tidyverse’ approaches in your own
time (if you want to). Having said that, if you have previous experience
using ‘tidyverse’ then feel free to complete the course exercises using
this approach.</p>
<p> </p>
</div>
<div id="i-dont-likewant-to-use-rstudio" class="section level4">
<h4>I don’t like/want to use RStudio</h4>
<p>Not a problem. Feel free to use the IDE or script editor of your
choice. One of the great things about R is that <em>YOU</em> decide how
you want to use it. See <a
href="https://intro2r.com/alternatives-to-rstudio.html">Section 1.4</a>
of our Introduction to R book for some suggestions for alternatives to
RStudio.</p>
<p> </p>
</div>
<div id="where-do-i-get-additional-help" class="section level4">
<h4>Where do I get additional help?</h4>
<p>It’s inevitable that you will get stuck at some point either during
the course or beyond. Whilst attending the course please feel free to
ask plenty of questions (remember, we’ve all been there!). After the
course, take a look at the <a href="resources.html">Resources</a>
section for further information on where to get help and how to help
yourself. There is also an active <a
href="https://aberdeenstudygroup.github.io/studyGroup/">Aberdeen Study
Group</a> which you can join for free and you don’t need to be based in
Aberdeen to participate. The group has regular online R co-working
sessions and their website hosts a bunch of useful and informative
tutorials.</p>
<p> </p>
</div>
<div id="what-do-i-do-once-the-course-has-finished"
class="section level4">
<h4>What do I do once the course has finished?</h4>
<p>The only way to get more comfortable using R is to use R! I strongly
suggest that having completed this course you start using R to
summarise, manipulate, plot and analyse your own data as soon as
possible. If you don’t have any data yet, then ask your supervisor,
friends or family for some (I’m sure they will be delighted!) or follow
one of the many excellent tutorials available online (see the <a
href="resources.html">resources</a> page for more information). My
suggestion to you, is that whilst you are getting to grips with R,
uninstall any other statistics software you have on your computer and
only use R. This may seem a little extreme but will hopefully remove the
temptation to ‘just do it quickly’ in a more familiar environment and
consequently slow down your learning of R. Believe me, anything you can
do in your existing statistics software package you can do in R (often
better and more efficiently).</p>
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