Event box

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 community focused problem solving.

This semester we will learn from students how we can develop research posters using R tools in the beginning of each session. We welcome you to 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.


More about RPG:

  • About us: RPG invites anyone interested in or already working with the amazing programming language R to gather in an open environment to discuss and learn together. Feel free to join our session to explore concrete examples of programming with R, discuss your roadblocks on ongoing projects, help each other troubleshoot, or even share an interesting past or present project!

  • Be in the know: Check out our upcoming events, browse materials from previous sessions, and find more resources at guides.library.upenn.edu/rpg

  • Spread the word: Know someone who might be interested in this event or upcoming ones? Forward this email and direct them to sign up for our updates list at tinyurl.com/rpenngroupform

Registration is required. There are 13 seats available.

Thursday, October 12, 2023
12:00pm - 1:00pm
Van Pelt-Dietrich Library Center
data, R
More information:

We welcome mask wearing in the close quarters of the room. Thank you for your consideration.

Room Description: The RDDSX encourages in-person activity, brainstorming, and coworking. 

Software: We will be working with RStudio.

Duration: 60 minutes

Additional Training Materials: R Guide

Related Classes at UPenn: 

PPE 4000 

Research in PPE: Research Transparency, Reproducibility and Basic Data Analysis 

STAT 4050 

Statistical Computing with R 

STAT 7050 

Statistical Computing with R 

BDS 5550 

Groups and Networks 

BEPP 8930 

Business Economics Analysis w/Data for Non-Coders 

BIOL 4511 

Biological Data Analysis 

BIOL 5511 

Biological Data Analysis 

CIS 5450 

Big Data Analytics 

CPLN 5050 

Planning by Numbers 

CPLN 7900 

MUSA/Smart Cities Practicum 

DATA 1010 

Introduction to Data Analytics 

DATA 2100 

Intermediate Data Analytics 

DATA 3100 

Introduction to Statistical Methods 

DATA 4010 

Advanced Data Analytics 

ECON 2310 

Econometric Methods and Models 

EPID 6250 

Advanced Biostatistical Methods for Multivariable Prediction Models 

ESE 5410 

Machine Learning for Data Science 

GAFL 6400 

Program Evaluations and Data Analysis 

MKTG 9400 

Measurement and Data Analysis in Marketing - Part A 

MKTG 9410 

Measurement and Data Analysis in Marketing - Part B 

MUSA 8010 

MUSA/Smart Cities Practicum 

OIDD 2450 

Analytics and the Digital Economy 

PSCI 1800 

Introduction to Data Science 

PSCI 1801 

Statistical Methods PSCI 

PSCI 6801 

Statistical Analysis for Political Science II 

PSYC 4463 

Research Experience Course in Clinical Psychological Data Analysis 

STAT 4020 

Communicating Quantitative Analyses: A Capstone Course 

STAT 4100 

Data Collection and Acquisition: Strategies and Platforms 

STAT 4220 

Predictive Analytics for Business 

STAT 4420 

Introduction to Bayesian Data Analysis 

STAT 4700 

Data Analytics and Statistical Computing 

STAT 4710 

Modern Data Mining 

STAT 5030 

Data Analytics and Statistical Computing 

STAT 5710 

Modern Data Mining 

STAT 7010 

Modern Data Mining 

STAT 7100 

Data Collection and Acquisition: Strategies and Platforms 

STAT 7220 

Predictive Analytics for Business 

STAT 7700 

Data Analytics and Statistical Computing 

URBS 4300 

Quantitative Methods and Tools for Urban Research 

Event Organizer

Jajwalya Karajgikar
RPenn Group