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Importing a log file with rxImport()

by Joseph Rickert Tuesday's post on a new Kaggle contest mentioned that Revolution Analytics offers a free trial for using Revolution R Enterprise in the Amazon cloud. One reason this might be of interest to contestants is the rxImport() function which reads delimited text data, fixed format text data, and with an appropriate ODBC driver, data stored in a database. (rxImport() also directly reads SAS and SPSS files, but I'm guessing that this feature is not lilely to be of interest to contestants). As it turns out, rxImport()is also useful for dealing for semistructure text data such as log files. For example, here are the first three lines of internet log file complements of gVim. - - [24/Feb/2013:01:44:32 -0600] "GET /bin/macosx/leopard/contrib/2.12/FGN_1.5.tgz HTTP/1.0" 200 510166 "-" "R (2.12.2 x86_64-apple-darwin9.8.0 x86_64 darwin9.8.0)" - - [24/Feb/2013:01:44:39 -0600] "GET /bin/macosx/leopard/contrib/2.12/fgui_1.0-2.tgz HTTP/1.0" 200 404275 "-" "R (2.12.2 x86_64-apple-darwin9.8.0 x86_64 darwin9.8.0)" - - [24/Feb/2013:01:44:45 -0600] "GET /bin/macosx/leopard/contrib/2.12/fields_6.6.tgz HTTP/1.0" 200 2852202 "-" "R (2.12.2 x86_64-apple-darwin9.8.0 x86_64 darwin9.8.0)" It is not quite space delimited, but it appears that the spaces may be useful. Indeed, reading the first five lines of the file, one line at a time, using just default parameters for rxImport() # Point to filedataDir <- "c:>

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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