Statistics with R Study Group

The Jackson Laboratory

Weekly from Jan 14-Mar 3, 2020

11:00 am - 12:00 pm

Instructors: N/A

Helpers: N/A

General Information

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.

Who: 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. Prerequisite: Basic competence with the R programming language.

Where: 600 Main Street, Bar Harbor, Maine. Get directions with OpenStreetMap or Google Maps.

When: Weekly from Jan 14-Mar 3, 2020. Add to your Google Calendar.

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:

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 for more information.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct.


Tuesday, Jan 21

11:00 Exploratory Data Analysis
11:05 Exploratory Data Analysis exercises
12:00 END

Tuesday, Jan 28

11:00 Matrix Algebra
11:05 Matrix Algebra exercises
12:00 END

Tuesday, Feb 4

11:00 Linear Models
11:05 Linear models in practice exercises
12:00 END

Tuesday, Feb 11

11:00 Inference For High Dimensional Data
11:05 Multiple Testing Exercises
12:00 END

Tuesday, Feb 18

11:00 Statistical Models
11:05 Hierarchical Models Exercises
12:00 END

Tuesday, Feb 25

11:00 Distance and Dimension Reduction
11:05 Distance exercises
12:00 END

Tuesday, Mar 3

11:10 Batch Effects
11:05 Confounding Exercises
12:00 END


To participate in a 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.

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.