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The R Penn Group (RPG) presented by the Research Data & Digital Scholarship team at Penn Libraries is an initiative that meets to discuss, learn, and collaborate on topics and projects related to statistics, mapping, data wrangling, visualization, and analysis with R programming language through hands-on problem-solving.
We meet on every 2nd Thursday of the month (Sept. 8 | Oct. 13 | Nov. 10 | Dec. 8) from 3PM-5PM at the Goldstein Electronic Classroom (Room 114, Van Pelt-Dietrich Library Center) for open-ended exploration of the ways in which the R programming language can enhance our academic pursuits. We look forward to seeing you there! All skill levels are welcome.
Penn Libraries has negotiated a campus-wide premium license for Dataquest, the scaffolded online learning platform with a full catalog of interactive courses; skill paths such as data visualization, machine learning, and data scraping and career paths using Python, R, PowerBI, and Tableau. You learn by doing, completing exercises and getting immediate feedback directly in the browser. To activate your premium account, please complete the form below.
Getting Started with R
R is a popular open-source language and environment for statistical computing and graphics. These are some resources to help you get started learning R.
A book down manual that includes 16 R tips, such as “how to explore a ‘new’ data set”, “How to create contingency tables”, “how to tally”, “how to join two data tables”, “how to plot data”, “how to create a dynamic report”, “how to learn Shiny”, and “how to check code efficiency”.
Penn Libraries has many books and ebooks that will help you master R.
Statistical Software Assistance at the Library
Appointments are available with our statistics software consultant for R, Stata, SPSS, and Python. Make an appointment via the Penn Libraries Technology Consultation Appointment page : select "Stata, R and Other Statistical Software" for available appointments.
The R community has developed numerous programs that add functionality to R. Below are a few popular and useful packages.