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Iterators in R: a tutorial

Iterators — object-oriented programming constructs that act as a pointer in an ordered sequence — are familiar to programmers of languages like Python, but are not a standard part of the R language. Nonetheless, by installing the iterators package (an open-source contribution by Revolution Analytics) you can create and manipulate iterator objects in R. If you're new to iterators, Exegetic Analytics provides an in-depth tutorial on iterators in R, with worked examples of using iterators to: loop over rows/columns of matrices and data frames iterate over lines in a file filter a sequence (say, to select only primes) create custom iterators to generate sequences (e.g. the Fibonacci sequence) In addition to providing a more elegant was to program with sequences, iterators in R also make it easy to parallelize R code using the foreach package. Exegetic Analytics: Iterators in R

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

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