R for Reproducible Scientific Analysis

Location: Holt Conference Room - The Jackson Laboratory for Genomic Medicine, Farmington CT

Workshop Website

Registration is Open

Apr 02 - 03

2019

About

This workshop is an introduction to R for non-programmers using gapminder data. The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. On-site participation is required. To ensure a high-quality experience for all participants and instructors, remote attendance will not be supported.

R for Reproducible Scientific Analysis

Location: Holt Conference Room - The Jackson Laboratory for Genomic Medicine, Farmington CT

About

People

Susan McClatchy, M.S.

The Jackson Laboratory

Minji Kim, Ph.D.

The Jackson Laboratory

Ravi Pandey, Ph.D.

The Jackson Laboratory

Xingmin "Aaron" Zhang, Ph.D.

The Jackson Laboratory

Lucas Lochovsky

The Jackson Laboratory

Samir B Amin, MBBS, Ph.D.

Dave Mellert, Ph.D.`

The Jackson Laboratory