Programming with Big Data in R. October, 2013. Page Version ID: 575445423
Programming with Big Data in R [link]Paper  abstract   bibtex   
Programming with Big Data in R (pbdR)[1] is a series of R packages and an environment for statistical computing with Big Data by utilizing high-performance statistical computation.[2] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical software. The significant difference between pbdR and R codes is pbdR mainly focuses on distributed memory system where data are distributed across several processors and analyzed in a batch mode, while communications between processors are based on MPI which is easily utilized in large high-performance computing (HPC) systems. R system mainly focuses[citation needed] on single multi-core machines for data analysis via an interactive mode such as GUI interface.
@misc{_programming_2013,
	title = {Programming with {Big} {Data} in {R}},
	copyright = {Creative Commons Attribution-ShareAlike License},
	url = {http://en.wikipedia.org/w/index.php?title=Programming_with_Big_Data_in_R&oldid=575445423},
	abstract = {Programming with Big Data in R (pbdR)[1] is a series of R packages and an environment for statistical computing with Big Data by utilizing high-performance statistical computation.[2] The pbdR uses the same programming language as R with S3/S4 classes and methods which is used among statisticians and data miners for developing statistical software. The significant difference between pbdR and R codes is pbdR mainly focuses on distributed memory system where data are distributed across several processors and analyzed in a batch mode, while communications between processors are based on MPI which is easily utilized in large high-performance computing (HPC) systems. R system mainly focuses[citation needed] on single multi-core machines for data analysis via an interactive mode such as GUI interface.},
	language = {en},
	urldate = {2013-10-25TZ},
	journal = {Wikipedia, the free encyclopedia},
	month = oct,
	year = {2013},
	note = {Page Version ID: 575445423}
}

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