RPenn Group
What is RPenn Group? Join us for a productive co-working session 
where you can dream up mini projects, brush up on statistical skills, collaborate with the campus-wide R community, or just hang out with other folks who are into R & data science!
Where is it held? RPG is by the Research Data & Digital Scholarship team at the Penn Libraries at Van Pelt-Dietrich Library Center 1st floor, RDDSX.
Where can I find more? guides.library.upenn.edu/rpg
How can I present my project / favorite package? tinyurl.com/rpenngroupform
We have Penn researchers from all fields and at all levels presenting their projects, favorite packages, and their development process.
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 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 |
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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 |
