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Chicago R User Group's Projects

2010-meetups icon 2010-meetups

Beyond R The Evolution of Statistical Computing Environments, Object Oriented Design(s) in R, Parallel Virtual Shared Memory with PVFS2 and Amazon EC2, R Analytics for Spread Trading, Generalized Global Optimization with DEoptim, mmap + indexing, and Amazon EMR + R

2011-meetups icon 2011-meetups

This is all the presentations plus a little bit of R code , R2wd and R2html slides and code example, Peter Carl - How to Present Tables in Plot Devices: A quick overview of how to use textplot to produce tabular data on a plot device. JD Long - Segue for R: an parallel R on Amazon's EMR service

2012-meetups icon 2012-meetups

Getting Help In R Tips & Tricks For Getting Work Done, Basic Graphics with R, BASICS OF DATA MUNGING IN R, R IGRAPH AND HANDSOME GRAPHS, Analyzing Social Networks with, Some Network Basics with R, Software Engineering in R

2013-meetups icon 2013-meetups

DEoptim: Optimization for the tough stuff, Meet a New R Package scrapeR, About xlsx, and A little sqldf demonstration

2014-meetups icon 2014-meetups

Profile R Code for Speed, Bootstrapping TimeSeries Data, APPLICATION OF A FUNCTION ACROSS MULTIPLE VARIABLES, CARET:Predictive Analysis Framework, Subset & merge time series, Peeking Under the Hood, Reshape2, R Beginnings, and USEFUL R FUNCTIONS for Debugging Purposes

2016-meetups icon 2016-meetups

Convergence of a Markov chain to steady state and Optimizing Food Safety at the City of Chicago

2017-n1-meetup icon 2017-n1-meetup

NEW YEAR, NEW TO R! is for beginners. Paul Teetor shows us how to organize R workflow like a pro and Keith Hultman demonstrates how to setup RStudio on AWS.

2017-n2-meetup icon 2017-n2-meetup

PREDICTIVE FINANCIAL ANALYTICS is about using statistical learning in Finance. Daniel Saxton uses GAM models to analyze cash flows, and Mark Bennett demonstrates how to predict security prices using corporate income statements.

2017-n5-meetup-solarflares icon 2017-n5-meetup-solarflares

Troy Hernandez spent the summer at NASA Ames mentoring the Frontier Development Lab; Solar Storm Prediction Team to create a deep learning system capable of predicting solar flares. This talk discusses his experiences.

2018-n1-happy-new-year icon 2018-n1-happy-new-year

Parfait Gasana demonstrate the pros and cons of base R and draws comparisons to dplyr and data.table. Chase Clark demos a Shiny app to Analyze Bacterial Fingerprints and Aid in the Discovery of Potential New Antibiotics.

2018-n2 icon 2018-n2

R-for-Humans, Ensemble Modeling, and Deep learning (with Keras)

2018-n3-double-feature icon 2018-n3-double-feature

Sandhya Kambhampati's "The Property Tax Divide analysis with R" and Dirk Eddelbuettel on "Extending R"

2018-n4-r-from-the-beginning icon 2018-n4-r-from-the-beginning

R Training Session. Joe Cursio hosts at IIT Stuart School of Business and presents "R from the veRy Beginning". Adam Ginensky presents "Getting data into R". Justin Shea presents "R Motivations"

2018-n6-crug-chipy icon 2018-n6-crug-chipy

The cross-over meetup of the year! https://www.meetup.com/ChicagoRUG/events/252519401/

2018-n7-crug-pug icon 2018-n7-crug-pug

Capturing the synergy of the Open Source movement, we bring together the popular analytical language and relational database for a joint meetup of the Chicago R User Group (CRUG) and PostgreSQL User Group (PUG)!

2018-n8-hacktoberfest icon 2018-n8-hacktoberfest

We've teamed up with R-Ladies Chicago this month to bring you a joint meetup worth toasting to: *HacktobeRfest* at Haymarket! Special thanks to the incredibly supportive IBM for sponsoring this event.

2018-n9-brew-and-view icon 2018-n9-brew-and-view

Come join us for the first ever R-themed Brew and View! We are going to curate a few of our favorite talks into 20 minute clips, and then highlight key points and discuss afterward.

2019-n7-r_stackoverflow-workshop icon 2019-n7-r_stackoverflow-workshop

Meetup held August 20, 2019 showcasing best practices and lessons learned of R Q/A posts on StackOverflow with group workshop to analyze R trends with API data.

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