RPenn Group
Event box
We are excited to announce that the R Penn Group monthly meetup is coming this Thursday, September 14th! This month, Greg Ridgeway will be sharing how you can incorporate GPT Copilot to R, and Hannah Shoenhard will be sharing how you can visualize using GGPlot. Please bring a computer you prefer to work on to follow along for a hands-on session – but note that you do not need to have R/RStudio installed or have any prior knowledge or experience working with R to join us!
Then, we’ll have time to explore your projects and experiences with R - whether you’re looking for feedback, ideas, or to share something you’re proud of! We’ll have Donuts and Coffee to fire you up!
Where: Research Data and Digital Scholarship Exchange (RDDSx) on the first floor of Van-Pelt Dietrich Library (big space to the right of room 114)
When: Thursday, September 14th, 12 - 2pm
We look forward to seeing you next Thursday!
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
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 |
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 |