REvolution Computing is offering two R courses in April. Click on the links below for details and registration information.April 1 (New York City): What’s All The Fuss About R? An Introduction to R Using Real-world Examples.REvolution Computing’s one-day, hands-on basic R training provides an introduction to R through the quantitative exploration of real-world problems. We’ll begin by using R for exploratory data analysis and statistical inference; specific topics include graphical methods (both base and grid graphics) and hypothesis testing via parametric and non-parametric methods. This introduction motivates a more formal presentation of the R language, including types of objects, reading/writing…
REvolution Computing is offering two R courses in April. Click on the links below for details and registration information.
REvolution Computing’s one-day, hands-on basic R training provides an introduction to R through the quantitative exploration of real-world problems. We’ll begin by using R for exploratory data analysis and statistical inference; specific topics include graphical methods (both base and grid graphics) and hypothesis testing via parametric and non-parametric methods. This introduction motivates a more formal presentation of the R language, including types of objects, reading/writing data, functions, loops, and control statements. Other strengths of R will be addressed, including statistical modeling, classes and methods, the package management system, and the interface to C/C++ and Fortran.
April 23 (Chicago):
High-Performance Computing in R.
High-performance computing (HPC) technology is more available and affordable than ever before. Productively using HPC computing has remained surprisingly difficult, particularly with high-level scripted languages like R. Fortunately, that is changing. The last few years have seen significant gains in high-quality HPC computing-related packages for R including RMPI, SNOW, ParallelR and many more. This one-day course will present n overview of available HPC technologies for the R language, and will demonstrate each technology with simple examples that can be used as starting points for more sophisticated work. (Ideal for attendees of R/Finance 2009.) 
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