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R for Reproducible Scientific Analysis

QCIF online workshop

Start date: 08 July 2020
End date: 09 July 2020
Time: 9:00 AM - 5:00 PM
Venue: Online
Booking: Please register via the QCIF Webpage.
Save to calendar: Download

Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Best 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.

Where: Virtual workshop taught over Zoom

Requirements

Participants must provide their own computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) and have access to a stable internet connection sufficient for videoconferencing. They should have a few specific software packages installed.

Setup

To participate in a Software Carpentry workshop, you will need to provide your own computer with reliable internet connection. In addition, you will need access to the software described below and 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.