The R User Conference is one of the biggest R conferences around the world. It will be held at Stanford University during Jun 27 – 30, 2016.
The conference is full already, however, if you want to see the presentations online you’ll be able to do so through the next link:
The program will cover topics such as
- History of R and computing with data
- Bayesian Statistics
- Bioinformatics
- Economics, Finance and Insurance
- High Performance Computing
- Reproducible Research
- Industrial Applications
- Statistical Learning with Big Data
- Spatial Statistics
- Teaching
- Visualization & Graphics
- and many more.
Click here to go to the website of the conference.
After all presentations are available, I’ll select my favorites and share them in this post.
I’m already looking forward to the following presentations:
Visualization
Performance and Big Data
- Taking R to new heights for scalability and performance
- Distributed Computing using parallel, Distributed R, and SparkR
- Exploring the R / SQL boundary
- How Teradata Aster R Scales Data Science
- Size of Datasets for Analytics and Implications for R
- R for Big Data and Applications: Using R at Oracle
- RCloud – Collaborative Environment for Visualization and Big Data Analytics
IDEs and GUIs
Use of R at big companies
Modeling
- Fast additive quantile regression in R
- R in machine learning competitions
- Multiple Hurdle Tobit models in R: The mhurdle package
- When will this machine fail?
Other
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