The Orange County R Users Group (OCRUG) Meetup Group explores and discusses R and how it is being used in data science, data analysis, visualization, data mining, predictive analytics, and beyond. People of all levels are welcome to attend, from those just getting started with R and predictive modelling to experts using R every day.
Dr. Olga, a professor at CSU Long Beach will give a talk and advanced regression models. It is based on her recently released book "Advanced Regression Models with SAS and R." This will also be a great introduction to the short course that we are planning for September. Check out the book at https://www.amazon.com/dp/1138049018/
George G Vega Yon will be talking about doing high-performance computing in R. He will discuss the 'parallel' package for parallel computing, Rcpp integrating C++ R, RcppArmadillo which is a linear algebra library and OpenMP which is an API for multiprocessing applications.
Come early, network, enjoy the food and talks. Do not forget to purchase a raffle ticket or two. It helps support the meet-up and we have a great prize.
6:30 - 6:50 Networking
6:50 - 7:00 Welcome & general announcement
7:00 - 7:30 Advanced Regressions with R Applications
7:30 - 8:00 A Brief Introduction to Using R for High-Performance Computing
8:00 - Raffle
8:00 - 8:30 Networking and Clean-up
# Talk 1
## Title: Advanced Regressions with R Applications
## Speaker: Olga Korosteleva
In my presentation, I plan to give a brief overview of various regression models: their settings, mathematical expressions, and implementation to datasets with complete R codes. The following models will be considered: linear (normal response), gamma (right-skewed response), logistic (binary response), Poisson, zero-truncated Poisson, zero-inflated Poisson, longitudinal model, and hierarchical model.
# Talk 2
## Title: A Brief Introduction to Using R for High-Performance Computing
## Speaker: George G Vega Yon
While the R programming language was not developed for High-Performance Computing (think about the ‘for’ loops!), thanks to its always thriving community of users, there are several ways in which R can be used to perform HPC. In this presentation, I will give you a general overview of HPC in R with a particular focus on multi-core processing (i.e. no big data for now), and introduce some of the available tools for enhancing your R code. The presentation will include some examples using the 'parallel' package, Rcpp, and Rcpp(Armadillo) + OpenMP.