Weekly from Jan 14-Mar 3, 2020
11:00 am - 12:00 pm
Instructors: N/A
Helpers: N/A
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 susan.mcclatchy@jax.org for more information.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct.
| 11:00 | Inference |
| 11:05 | Power calculations exercises |
| 11:25 | Permutation test exercises |
| 11:45 | Association test exercises |
| 12:00 | END |
| 11:00 | Exploratory Data Analysis |
| 11:05 | Exploratory Data Analysis exercises |
| 12:00 | END |
| 11:00 | Matrix Algebra |
| 11:05 | Matrix Algebra exercises |
| 12:00 | END |
| 11:00 | Linear Models |
| 11:05 | Linear models in practice exercises |
| 12:00 | END |
| 11:00 | Inference For High Dimensional Data |
| 11:05 | Multiple Testing Exercises |
| 12:00 | END |
| 11:00 | Statistical Models |
| 11:05 | Hierarchical Models Exercises |
| 12:00 | END |
| 11:00 | Distance and Dimension Reduction |
| 11:05 | Distance exercises |
| 12:00 | END |
| 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.
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.