Feb 15 and Feb 22, 2018
08:30-16:00
Instructors: Dmytro Perepolkin, Raoul Wolf
Helpers: Fatima Heinicke
This is not a full Software Carpentry, but an R tidyverse workshop based on Software Carpentry material.
Who: The course is aimed at graduate students and other researchers. Some experience of working with Git and Github is recommended for those attending the workshop.
Where: Seminarrom 123 in Vilhelm Bjerknes hus, Moltke Moes vei 35, 0851 Oslo. Get directions with OpenStreetMap or Google Maps.
When: Feb 15 and Feb 22, 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. 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 contact-us@swcarpentry.uio.no for more information.
| 08:30 | Introduction to RStudio and tidyverse |
| 09:00 | Elegant data visualisations with ggplot2 |
| 10:30 | Coffee |
| 10:45 | Elegant data visualisations with ggplot2 (continued) |
| 11:30 | Lunch break |
| 12:30 | Data manipulation with dplyr |
| 13:45 | Coffee |
| 14:00 | Easily arrange data with tidyr |
| 15:00 | Happy Git with R |
| 16:00 | Next week assignments and wrap-up |
| 08:30 | Recap of previous week materials and pre-read |
| 09:30 | Introduction to functions in R |
| 10:30 | Coffee |
| 10:45 | Functional programming with purrr |
| 11:30 | Lunch break |
| 12:30 | Operating with list-cols |
| 13:45 | Coffee |
| 14:00 | Elegant modelling pipelines with modelr |
| 15:00 | Resampling in tidyverse |
| 16:00 | Worshop wrap-up |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
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.
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 should be installed on your computer as part of your Bash install (described above).
For OS X 10.9 and higher, install Git for Mac
by downloading and running the most recent "mavericks" installer from
this list.
After installing Git, there will not be anything in your /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.
If Git is not already available on your machine you can try to
install it via your distro's package manager. For Debian/Ubuntu run
sudo apt-get install git and for Fedora run
sudo dnf install git.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use 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.