The small Herding Cats dataset is available here
The full Herding Cats dataset is available here
The Old Faithful dataset for the optional takehome is available here
There is an optional takehome assignment available here.
We will use Socrative to work through exercises during the workshop
Student login: https://b.socrative.com/login/student/
classroom: HHUCRA83F
We will use Slack to communicate during the workshop. The AARUG slack group is also a valuable resource for hearing about R-related events and announcements and receiving help on your R code.
Request to join the AARUG slack group: http://annarborrusergroup.github.io/slack/
These lessons assume no prior knowledge of the skills or tools, but working through this lesson requires working copies of the software described below. To most effectively use these materials, please make sure to install everything before working through this lesson.
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.
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.
Lesson plans were adapted from Software Carpentry and Data Carpentry lessons
Contributors include: Michelle Berry, Ellis Valentiner, Rob Weyant, Clayton Yochum, Andrew Moore