Online resources for handling big data and parallel computing in R

Online resources for handling big data and parallel computing in R by Yanchang Zhao.

Resources to spice up your reading list for this week:

Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages that enables parallel computing in R and also packages for processing big data in R without loading all data into RAM. I have collected some links to online documents and slides on handling big data and parallel computing in R, which are listed below. Many online resources on other topics related to data mining with R can be found at http://www.rdatamining.com/resources/onlinedocs.

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