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:
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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!
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Be in the know: Check out our upcoming events, browse materials from previous sessions, and find more resources at guides.library.upenn.edu/rpg
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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
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PPE 4000 |
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STAT 4050 |
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BIOL 4511 |
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BIOL 5511 |
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CIS 5450 |
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CPLN 7900 |
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DATA 1010 |
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DATA 2100 |
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DATA 3100 |
Introduction to Statistical Methods |
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DATA 4010 |
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ECON 2310 |
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EPID 6250 |
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ESE 5410 |
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GAFL 6400 |
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STAT 4020 |
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STAT 4100 |
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STAT 4220 |
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STAT 4420 |
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STAT 4700 |
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STAT 4710 |
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STAT 5030 |
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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 |
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STAT 7700 |
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URBS 4300 |
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Event Organizer
