Many data science problems reduce to operations on very tall, skinny matrices. However, sometimes these matrices can be so tall that they are difficult to work with, or do not even fit into main memory. One strategy to deal with such objects is to distribute their rows across several processors. To this end, we offer an 'S4' class for tall, skinny, distributed matrices, called the 'shaq'. We also provide many useful numerical methods and statistics operations for operating on these distributed objects. The naming is a bit "tongueincheek", with the class a play on the fact that 'Shaquille' 'ONeal' ('Shaq') is very tall, and he starred in the film 'Kazaam'.
Package details 


Author  Drew Schmidt [aut, cre], WeiChen Chen [aut], Mike Matheson [aut], George Ostrouchov [aut], ORNL [cph] 
Maintainer  Drew Schmidt <wrathematics@gmail.com> 
License  BSD 2clause License + file LICENSE 
Version  0.10 
URL  http://rpbd.org/ 
Package repository  View on CRAN 
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