22 Feb 2019
9:00 am - 4:30 pm
Instructors: Peter Humburg, Tim Keighley
Helpers: Kate Dodds, James Lawson, Richard Miller
This worksop is based on the R Data Carpentry workshop for social scientists. It employs Data Carpentry teaching methods and material. The workshop is intended as a follow-up to a regular R Data or Software Carpentry providing a more detailed introduction to ggplot and how to use it effectively. Its target audience is researchers who have attended a Carpentries R workshop befor or have some practical experience with using R. 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 The Carpentries we teach and why, please see the paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You should have some experience using R.
Where: Room 163, 14 Sir Christopher Ondaatje Avenue, Macquarie University. Get directions with OpenStreetMap or Google Maps.
When: 22 Feb 2019. Add to your Google Calendar.
Requirements: This workshop is targeted at previous participants of Data or Software Carpentry R courses and participants are expected to have basic familiarity with R. Participants must bring a laptop 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). They should also have a GitHub account. Participants are required to abide by Data Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email peter.humburg@mq.edu.au for more information.
| Before starting | Ensure you have completed the setup |
| Morning | Recap: Using Git and GitHub |
| Data Visualisation with R | |
| Afternoon | Continuation of Data Visualisation with R |
| END |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Data Carpentry workshop, you will need access to the software 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.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio. The R lessons in this workshop rely on the use of Git. Please follow the instructions below to install the Git software and connect it to RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. 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.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo dnf install R). Also, please install the
RStudio IDE.
Git is a version control system that lets you track who made changes to what when and has options for easily updating a shared or public version of your code on github.com. You will need a supported web browser (current versions of Chrome, Firefox or Safari, or Internet Explorer version 9 or above).
You will need an account at github.com for parts of the Git lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already. Please consider what personal information you'd like to reveal. For example, you may want to review these instructions for keeping your email address private provided at GitHub.
git.exe. This is typically located in "C:\Users\<Your-User-Name>\AppData\Local\Programs\Git\bin".This will provide you with both Git and Bash in the Git Bash program.
/Applications folder,
as Git is a command line program.
For older versions of OS X (10.5-10.8) use the
most recent available installer labelled "snow-leopard"
available here.
git executable.sudo apt-get install git and for Fedora run
sudo dnf install git.
git executable. This is typically located in "/usr/bin".