A Website to Learn R

Authors

• Kyler Patrick, St. John Fisher University

Document Type

Poster Presentation

Publication Date

4-17-2026

Keywords

fsc2026

Abstract

This Honors Keystone project provides an accessible, structured guide to the R programming language, specifically tailored for data analysis and statistical modeling. Developed using HTML and hosted on GitHub Pages, the guide offers a clean, navigable interface that covers essential workflows, from data cleaning and variable management to the execution of regression models. By utilizing a web-based format, the resource ensures cross-platform accessibility, allowing students and researchers to quickly reference coding syntax and data visualization techniques. The guide serves as a practical companion to quantitative research by bridging the gap between raw data collection and statistical output.

Link: https://kylerpatrick.github.io/RGuide.github.io/

Comments

Poster presented at the 2026 Fisher Showcase, St. John Fisher University, April 17, 2026.

Publication Information

Patrick, Kyler, "A Website to Learn R" (2026). Fisher Showcase 2026. Paper 154.
https://fisherpub.sjf.edu/fsc2026/154

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