Curtin Virtual R Data Carpentry Workshop

Curtin University


APR 05-06, 2022

1:00 pm - 4:30 pm AWST

Instructors: Shih Ching Fu, Kathryn Napier

Helpers: Joel Dunstan, Calvin Pang, Jamiu Ekundayo

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General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at Curtin University graduate students and other researchers (please register using your Curtin University email address). You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.

When: APR 05-06, 2022. Add to your Google Calendar.

Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.

Contact: Please email for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Who can attend?: This workshop is open to affiliates to Curtin University.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Day 1, Tue April 05 (1:00 pm - 4:30 pm)

Before starting Pre-workshop survey
12:45 Join online workshop and set up
13:00 Introduction to the workshop and tools
14:30 Coffee Break
14:45 Introduction to R
16:30 Wrap up

Day 2, Wed April 06 (1:00 pm - 4:30 pm)

12:45 Join online workshop and set up
13:00 Introduction to R continued
14:30 Coffee Break
14:45 Introduction to R continued
16:30 Post-workshop survey


Data Analysis and Visualisation in R

  • Finding your way around RStudio and getting help
  • Project set up
  • Manipulating, analyzing and exporting data with tidyverse
  • Data visualisation with ggplot2
  • Reference...


To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

Install the videoconferencing client

Set up your workspace

Once you sign up for the course via Eventbright, you should receive a webex invite. Please ensure it's installed and ready to go before the workshop. In the even of major technical difficulties, we may fall back to MS Teams, so it may be good to have that installed as well!

Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the video conference client open. In order to see both at once, we recommend using one of the following set up options:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.


R and RStudio are two separate pieces of software:

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. RStudio is an integrated development environment (IDE) that makes using R easier. In this course we use RStudio to interact with R.

If you don't already have R and RStudio installed, follow the instructions for your operating system below. You have to install R before you install RStudio.

If you do have R and R studio installed, Open RStudio, and click on “Help” > “Check for updates”. If a new version is available, quit RStudio, and download the latest version for RStudio. To check which version of R you are using, start RStudio and the first thing that appears in the console indicates the version of R you are running. Alternatively, you can type sessionInfo(), which will also display which version of R you are running. Go on the CRAN website (Windows, MacOS) and check whether a more recent version is available. If so, please download and install it. You can check here for more information on how to remove old versions from your Windows system if you wish to do so.

Windows Video Tutorial
  1. Download R from the CRAN website
  2. Run the .exe file that was just downloaded
  3. Go to the RStudio download page.
  4. Under Installers select Windows 10 - RStudio x.y.zzzz (where x, y, and z represent version numbers)
  5. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
  6. Double click the file to install it
  7. Once it’s installed, open RStudio to make sure it works and you don’t get any error messages
MacOS Video Tutorial
  1. Download R from the CRAN website.
  2. Select the .pkg file for the latest R version
  3. Double click on the downloaded file to install R
  4. It is also a good idea to install XQuartz (needed by some packages)
  5. Go to the RStudio download page
  6. Under Installers select Mac OS 10.13+ - RStudio x.y.zzzz (where x, y, and z represent version numbers)
  7. Double click the file to install RStudio
  8. Once it’s installed, open RStudio to make sure it works and you don’t get any error messages.

You can download the binary files for your distribution from CRAN. For most distributions, you could use your package manager (e.g., for Debian/Ubuntu run sudo apt-get install r-base, and for Fedora sudo yum install R), but we don’t recommend this approach as the versions provided by this are usually out of date. In any case, make sure you have at least R 3.5.1. Also, please install the RStudio IDE. Once it’s installed, open RStudio to make sure it works and you don’t get any error messages.