[<< wikibooks] Data Science: An Introduction/250 R Commands
== Chapter Summary ==
This is copied verbatim from Jeromy Anglim's Blog


== Discussion ==
Dr. Anglim writes:

The R programming language includes many abbreviations. Abbreviations exist in function names, argument names, and allowed values for arguments. This post expands on over 150 R abbreviations with the aim of making it easier for users new to R who are trying to memorise R commands.

Abbreviations save time when typing and can make for less cumbersome code. However, abbreviations often make it more difficult to remember a command. This is especially true when the user does not know what the abbreviation stands for.

R has been developed by a group of technical experts with backgrounds in Linux and Unix, mathematics, statistics, and statistical computing. With gaining popularity, R is now being used by people with little to none of this background. Abbreviations which are intuitive to the experts are not necessarily intuitive  to this broader audience.

The R help system does a reasonable job of explaining the abbreviations in R. However, I thought it would be useful to write a post listing some of the common abbreviations along with the expansion of the abbreviation. Whereas R sometimes errs on the side of assuming expertise, I thought I'd err on the side of assuming naivety. Thus, the table includes many abbreviations which are probably obvious to most readers.

I thank Tom Short for his R reference Card which provided some inspiration for a starting list of R commands. Feel free to reproduce or adapt this table elsewhere. For example, perhaps it could be included in an R Wiki with additional entries. If you spot an error in the table, let me know in the comments of this post.

I might expand the table in the future. At the moment, it's mainly function names with not many arguments or values of arguments. I also haven't put much time into grouping and ordering the functions.


== Table of R Commands ==


== More Reading ==
Anonymous, Bill Venables, and David M. Smith (22 June 2012). "An Introduction to R". The Comprehensive R Archive Network (CRAN). http://cran.r-project.org/doc/manuals/R-intro.html. Retrieved 8 August 2012. 


== References ==


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