R for speed, R for fun
This week Keegan Hines will teach you how to get fancy with R. He'll go over some ways to speed up analyses using integration with C++ and parallelization. Then he gets into the fun part with some very cool ways to create graphics and documents that are easy to disseminate (and publish).
Installation:
Open up R and type:
install.packages(c("Rcpp","multicore","knitr","shiny"))
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