R Basics: Prepare Data for​ Modeling and Analysis​

This workshop is intended for Penn undergraduate students, graduate students, predocs, postdocs, faculty, and staff who have begun programming in R and want to work with real-world data. The session is suited to learners interested in using R as a digital tool for assignments, research, teaching, service, or the job market. This workshop provides techniques for organizing both numeric (numbers) and character (text) content in R such that learners could generate outcomes from standard statistical or machine learning models.

After this workshop, learners should be able to

• Import and wrangle real-world data
• Explore data properties
• Format data for statistical tests or machine learning

Expectations

• Code-along with instructor: 60 min.
• Solo/Group practice: 20 min.
• Lecture: 10 min.

Requirements

1. Prerequisite: This workshop expands on skills introduced during Get Started in RStudio. Learners who attended this prior session or learned its skills elsewhere are welcome.
2. Install R and RStudio OR plan to use the Lippincott Library’s on-site computers
3. Install packages in R: install.packages(c("dplyr", "tidyr", "plyr"))