University of Oslo

Jan. 18, 2017

09:00 AM - 04:00 PM

Instructors: Dmytro Perepølkin, Raoul Wolf, Christian Wilhelm Mohr

Helpers: Dmytro Perepølkin, Raoul Wolf, Christian Wilhelm Mohr

General Information

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 basic concepts and tools, including program design, version control, data management, and task automation. 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.

Where: Room 1259 (Abels utsikt), Niels Henrik Abels hus, Moltke Moes vei 35, 0851 Oslo. Get directions with OpenStreetMap or Google Maps.

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. The workshop organisers 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 and we will attempt to provide them.

Contact: Please email for more information.


Day 1

08:30 Set-up and troubleshooting (required, unless you have succeeded in setup)
09:00 Project Management With RStudio, Intro to ggplot2
10:20 Coffee break
10:30 Dataframe Manipulation with dplyr and tidyr
12:00 Lunch break
13:00 Data Structures, Subsetting
14:20 Coffee break
14:30 Functions and functional programming in R
15:40 Reproducible reseach with R Markdown Notebooks
16:00 Wrap-up


R for Reproducible Scientific Analysis

  • How to find your way around RStudio?
  • How can I integrate software and reports?
  • How can I create publication-quality graphics in R?
  • How can I manipulate dataframes without repeating myself?
  • How can I change the format of dataframes?
  • What are the basic data types in R? How do I represent categorical information in R?
  • How can I work with subsets of data in R?
  • How can I write a new function in R?
  • Reference...


To participate in a 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.


R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.


Video Tutorial

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.

Mac OS X

Video Tutorial

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 yum install R). Also, please install the RStudio IDE.