This post is largely credit to this blog.
Data Storage I/O
- http://blog.revolutionanalytics.com/2009/12/r-tip-save-time-and-space-by-compressing-data-files.html
- fread
- data.table
- http://stackoverflow.com/questions/1727772/quickly-reading-very-large-tables-as-dataframes-in-r
- http://davetang.org/muse/2013/09/03/handling-big-data-in-r/
Data Manipulation
- dplyr in plyr package
Data Visualization
- bigvis
- ggplot2
Memory
- ffbase
- http://www.slideshare.net/EdwindeJonge1/ffbase
http://www.r-bloggers.com/improve-predictive-performance-in-r-with-bagging/
http://vikparuchuri.com/blog/parallel-r-loops-for-windows-and-linux/
Parallelization
- http://adv-r.had.co.nz/Profiling.html#parallelise
- http://notjustmath.wordpress.com/2012/01/22/parallel-computing-with-r/
- http://stackoverflow.com/questions/24335569/in-r-how-to-predict-with-svm-model-in-parallel-using-foreach-snow
- http://topepo.github.io/caret/parallel.html
- http://stackoverflow.com/questions/7782501/how-to-interpret-predict-result-of-svm-in-r?rq=1
- http://www.r-bloggers.com/parallel-r-model-prediction-building-and-analytics/
