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POSTPONED: Intro to "R" (Statistical software) Workshop

Due to the campus closure, this event has been postponed until Fall.

Our “Introduction to R on the HPC” workshop is a free, interactive workshop that provides a practical introduction to statistical analysis and programming in the R language. R is a free and open source statistical software environment and programming language which has become widely used throughout academia and industry.

This workshop focuses on using R within the context of High-Performance Computing and Big Data Analysis on RCC, but it may have general appeal to attendees who are not RCC users.

How to Prepare

This is an interactive, hands-on workshop. Attendees are encouraged to bring a laptop computer if you are able to so that you can follow along during the presentation.

Before the workshop begins, be sure that you have installed an R environment on your system. This can be either the R command line version for Linux or Mac or using the R Commander GUI Environment. This should work on Linux, Mac or Windows, however the environment we will be using is a Linux environment. If you have a Windows computer though, I encourage you to download and install the Linux Subsystem for Windows. This will make connecting to RCC and following along much easier.

If you want, you can sign-up for an RCC account on our website. However, this is not necessary. If you do not have an account already, we will provide you a temporary account to use on our system during the workshop.

Topics Covered

By the end of this workshop, attendees will be able to connect to and interact with the R programming language and software environment including the ones used on RCC. Attendees will also gain familiarity with basic programming concepts, parallel computing techniques and statistical analyses as they relate to R.

Specific topics covered include:

    History and Development of R
    Getting Started with R
    Installing Packages
    The Built-In Datasets of R
    The Basics of Programming in R
    Running Statistical Analysis with R
    Parallel Computing Options in R

Monday, April 20 at 5:15pm to 6:45pm

Shores Building (LSB), 126 (Program Room in the Innovation Hub)
142 Collegiate Loop, Tallahassee, FL

Event Type

Workshops & Seminars

Departments Filters

Administration, Finance and Administration, Information Technology Services, FSU Research Computing Center


r, statistics, programming, statistical software

All Audiences


Contact Name:

Casey McLaughlin

Contact Phone


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