Essential R Skills for Intermediate Users – June 2025

Event Phone: 1-610-715-0115

Details Price Qty
Regular Admissionshow details + $695.00 USD  ea 

Upcoming Dates

  • 30
    Jun
    Essential R Skills for Intermediate Users
    10:30 AM
    -
    3:00 PM
Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).
In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.
An 8-Hour Livestream Seminar Taught by Andrew Miles, Ph.D.

Take your R coding to the next level with essential skills for cleaner code, faster debugging, and seamless research workflows!

R has become the pre-eminent software package for conducting statistical analyses in a wide range of fields. However, harnessing its full potential requires moving beyond basic data manipulation and analysis and learning to use R for more of the tasks required for research in the modern world.

This course intentionally avoids addressing how to perform particular types of analyses in R—there are already many great courses that do this. Instead, it selectively focuses on techniques and skills that will help you write better R code, simplify your research, and improve your analyses regardless of the particular data and models you use. The goal is to equip you with a suite of tools that you will be able to apply frequently across a range of projects.

Course content can be roughly grouped into two broad skillsets. The first are “R skills”—skills that improve your ability to write effective R code. We will discuss how R finds files and how we can make this process less error prone, as well as methods for troubleshooting and debugging code. We will also learn how to write our own R functions and why doing so is usually a good idea.

The second type of skills are “research skills”—ways to use R to perform common research-related tasks. These include learning how to build flexible, publication-ready tables directly in R (goodbye spreadsheets!), learning the basics of data generation and simulation, and exploring how to bootstrap results from a variety of common analyses.

A primary aim of this course is to “upskill” your ability to work independently and flexibly
in R. Consequently, particular emphasis will be placed on processes for tackling
problems rather than ready-made solutions. We also will focus on the “nuts and bolts” of
the various methods we discuss so that you will leave the course ready to tailor out-of-
the-box functions to the specifics of your work.

This course is unapologetically hands-on. You are encouraged to write code along with the instructor, and to participate in the exercises interspersed through the seminar. By the end of the course, you can expect to log 6-7 hours of guided practice coding in R.

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