RPenn Group
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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 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.
Related LibGuide: R / RStudio by Jajwalya Karajgikar
We welcome mask wearing in the close quarters of the room. Thank you for your consideration.
Room Description: The Collaborative Classroom 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:
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PPE 4000 |
Research in PPE: Research Transparency, Reproducibility and Basic Data Analysis |
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STAT 4050 |
Statistical Computing with R |
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STAT 7050 |
Statistical Computing with R |
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BDS 5550 |
Groups and Networks |
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BEPP 8930 |
Business Economics Analysis w/Data for Non-Coders |
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BIOL 4511 |
Biological Data Analysis |
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BIOL 5511 |
Biological Data Analysis |
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CIS 5450 |
Big Data Analytics |
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CPLN 5050 |
Planning by Numbers |
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CPLN 7900 |
MUSA/Smart Cities Practicum |
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DATA 1010 |
Introduction to Data Analytics |
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DATA 2100 |
Intermediate Data Analytics |
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DATA 3100 |
Introduction to Statistical Methods |
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DATA 4010 |
Advanced Data Analytics |
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ECON 2310 |
Econometric Methods and Models |
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EPID 6250 |
Advanced Biostatistical Methods for Multivariable Prediction Models |
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ESE 5410 |
Machine Learning for Data Science |
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GAFL 6400 |
Program Evaluations and Data Analysis |
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MKTG 9400 |
Measurement and Data Analysis in Marketing - Part A |
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MKTG 9410 |
Measurement and Data Analysis in Marketing - Part B |
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MUSA 8010 |
MUSA/Smart Cities Practicum |
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OIDD 2450 |
Analytics and the Digital Economy |
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PSCI 1800 |
Introduction to Data Science |
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PSCI 1801 |
Statistical Methods PSCI |
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PSCI 6801 |
Statistical Analysis for Political Science II |
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PSYC 4463 |
Research Experience Course in Clinical Psychological Data Analysis |
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STAT 4020 |
Communicating Quantitative Analyses: A Capstone Course |
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STAT 4100 |
Data Collection and Acquisition: Strategies and Platforms |
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STAT 4220 |
Predictive Analytics for Business |
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STAT 4420 |
Introduction to Bayesian Data Analysis |
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STAT 4700 |
Data Analytics and Statistical Computing |
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STAT 4710 |
Modern Data Mining |
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STAT 5030 |
Data Analytics and Statistical Computing |
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STAT 5710 |
Modern Data Mining |
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STAT 7010 |
Modern Data Mining |
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STAT 7100 |
Data Collection and Acquisition: Strategies and Platforms |
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STAT 7220 |
Predictive Analytics for Business |
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STAT 7700 |
Data Analytics and Statistical Computing |
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URBS 4300 |
Quantitative Methods and Tools for Urban Research |
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