H3ABioNet presents: Introduction to R

5-6 September 2019

Instructors: Katie Lennard

Prerequisites

You should have your access to R and RStudio via your own compute cluster.

General Information

The material taught in this module was developed by The Carpentries an organisation that develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on The Carpentries' guide to practice guidelines for scientific computing, please see "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

When: 5-6 September 2019. Add to your Google Calendar.

Requirements: Participants must have access to R and RStudio via their own compute cluster provided by their system administrator.

Contact: Please email katieviljoen@gmail.com for more information.


We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Syllabus


Setup

To participate in this 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

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.