You should be able to do this effectively in 1 line: > my.data <- lapply( paste( 'data', 1:N, '.dat', sep='' ), read.table )
Then everything is in my.data, if you want them named then do a second line: > names(my.data) <- paste( 'data', 1:N, '.dat', sep='' ) Doing the same analysis on each dataset can now be done using lapply or sapply. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Jeff Harring > Sent: Thursday, November 12, 2009 6:22 AM > To: r-help@r-project.org > Subject: [R] Question about simulation design... > > Help R list servers, > > I have 500 external data sets for a simulation study that I would like > to bring into R to analyze. They have the names data1.dat, data2.dat, > ..., dataN.dat > > Is there a way to automatize the bringing in of these data sets in R > using the read.table function within a looping cycle? > > For example... > > for (j in 1:N){ > data_"j" = read.table("data"j".dat, header=F) > > executable code > . > . > . > } > > bring in the next data set. > > SAS uses a ampersand "&" to automatize the process. > > Example code: > > data _NULL_; > set final; > filename out "C:\data&k..dat"; > file out; > put variables; > run; > > I would welcome any insight into how to address this issue. > > Thank you. > Jeff Harring > > -- > ********************************************************** > Jeffrey R. Harring, Assistant Professor > Department of Measurement, Statistics & Evaluation (EDMS) > 1230 Benjamin Building > University of Maryland > College Park, MD 20742-1115 > > Phone: 301.405.3630 > Fax: 301.314.9245 > Email: harr...@umd.edu > Web: http://www.education.umd.edu/EDMS/fac/Harring/webpage.html > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting- > guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.