Study group sessions feature problem-solving and challenges in a cooperative setting. Rather than have an instructor lead, we’ll study on our own and meet for one hour to solve exercises together. Statistics with R Study Group will explore Irizarry & Love’s Data Analysis for the Life Sciences. This book starts with one of the most critical areas in statistics and in the life sciences: statistical inference. Other topics include exploratory data analysis, matrix algebra, statistical models, and distance and dimension reduction.
Statistics with R Study Group will meet weekly from 11am to 12pm on Tuesdays from January 14 to March 3. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
This study group is aimed at graduate students and other researchers who would like to learn more about statistics for high-throughput data. Study group participants can meet other group members in person at the Jackson Laboratory campuses in Bar Harbor or Farmington, or can attend remotely via WebEx.
Basic competence with the R programming language.
Requirements: Participants must bring a laptop with a
Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). They should have the most recent version of
R and RStudio installed (see below).
Accessibility: We are committed to making this workshop
accessible to everybody.
The workshop organizers have checked that:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
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.
Install R by downloading and running
this .exe file
Also, please install the
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.
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