Mar 5-7, 2018
9:00 am - 4:00 pm
Instructors: Dan Mønster, Kristian Tylén
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover how to write modular code and best practices for using R for data analysis and visualization. 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 "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
When: Mar 5-7, 2018. Add to your Google Calendar.
Requirements: 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 are also required to abide by Software Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody.
Sign-up: Please send an e-mail to Mette Løvschal to sign up.
Please be sure to complete these surveys before and after the workshop.
|09:00||Introduction to R and R Studio|
|13:00||Working with data|
|09:00||Data frame manipulation|
|10:45||Integrating software and reports|
|11:30||Writing good software|
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To participate in this Software 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.
The gapminder data can be downloaded here.
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.