A guide to speeding up R code

Noam Ross recently shared a very useful guide to speeding up your R code. 

• Get a bigger computer (for example, renting an instance on the Amazon cloud for a few cents an hour)
• Use parallel programming techniques
• Using the R byte-compiler
• Profiling and benchmarking your code
• Using high-performance packages (like xts, for time series)
• And lastly, rewriting your code to use more efficient constructs

One other tip that can have some great performance benefits is linking R to parallel BLAS libraries (Revolution R does this by default). For more details on how to speed up your R code read Noam's excellent guide, linked below.

Noam Ross: FasteR! HigheR! StrongeR! - A Guide to Speeding Up R Code for Busy People

Comments

[Noam Ross]

Thanks for mentioning it! Hey, do you know of any guides to BLAS and R for beginners?