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