Skip to content

wvulibraries/RSE-Workshop-R

Repository files navigation

R Workshop Series @ WVU Libraries

Overview

West Virginia University (WVU) Libraries present a series of hands-on workshops aimed at helping graduate students and faculty develop programming skills using R. These workshops cater to absolute beginners or those looking for a refresher in R programming, data cleaning, and data visualization.

Our goal is to provide participants with a practical foundation in R, enabling them to manage, analyze, and visualize data effectively in their academic or professional projects.

Hosts

Workshop Series

Part 1: First Steps with R and RStudio

Participants will be introduced to:

  • Key R functions and syntax.
  • How to load, enter, and manage data within R.
  • Navigating RStudio’s interface and core components.

Part 2: Data Cleaning and Analysis with R and RStudio

Participants will be introduced to:

  • Data cleaning methods using Base R and the Tidyverse package.
  • Performing data analysis using essential functions to manipulate and summarize data.

Part 3: Data Visualization and Presentation with R and RStudio

Participants will be introduced to:

  • Create informative visualizations using the ggplot2 package.
  • Present data and findings in professional reports using RMarkdown.

Learning Objectives

By the end of the workshop series, participants will be able to:

  1. Understand the use cases for R and compare it with alternative programming languages.
  2. Navigate and utilize the RStudio environment, including the console, editor, and help tools.
  3. Write and run basic R scripts and understand R syntax (operators, functions, packages, data types, and structures).
  4. Import, clean, and transform datasets using R.
  5. Visualize and present data insights with graphs and reports.

Upcoming Workshops

Software Requirements

Before attending the workshops, participants must install the following software:

  1. R - The R programming language.
  2. RStudio - The integrated development environment for R. Optionally: GitHub Desktop - A graphical interface for managing Git and GitHub repositories.

Course Materials

All workshop lesson plans, slides, and supplemental materials are available in the Presentation_files folder of this repository.


For further assistance or questions, please reach out to Yiheng Wu or Jeff Werst via the links provided above.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •