On Nov 12, 2009, at 8:42 AM, Jeff Harring wrote:
I have a question regarding automatizing simulation runs in R...
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)
Perhaps something like this:
for (j in 1:N){
assign(paste("data", j, sep="_") , read.table( paste("data",j,".dat",
sep=""), header=F) }
Or even better might be to assign to a list which would augmentalize
your future automatizabilationabilty:
flist <- list()
for (j in 1:N){
flist[[j]] <- read.table( paste("data",j,".dat", sep=""), header=F) }
--
David
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
--
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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