Analysis of statistical algorithms can generate workloads that run for hours, if not days, tying up a single computer. Many statisticians and data scientists write complex simulations and statistical analysis using the R statistical computing environment. Often these programs have a very long run time. Given the amount of time ... [Read more...]

An elastic infrastructure for distributed R Most of us recall the notion of elasticity from Economics 101. Markets are about supply and demand, and when there is an abundance of supply, prices usually go down. Elasticity is a measure of how responsive one economic variable is to another, and in an ... [Read more...]

Parallelizing R with BatchJobs – An example using k-means Gord Sissons, Feng Li Many simulations in R are long running. Analysis of statistical algorithms can generate workloads that run for hours if not days tying up a single computer. Given the amount of time R programmers can spend waiting for results, ... [Read more...]