You need only one loop,

year <- 1951:2000
filelist <- paste("C:\\Documents and Settings\\Data\ \table_",year,".txt", sep="")
filelist

for (ii in seq_along(year)) {
         assign(paste("table_", year[ii], sep=""),
                                read.table(file=ifile[ii], header=TRUE, 
sep=","))
}



or better yet,

d <- lapply( filelist, read.csv)
names(d) <- paste(year)

head(d["1952"])


(untested)

HTH,

baptiste

On 23 Mar 2009, at 16:52, Steve Murray wrote:


Dear all,

I am trying to read in and assign data from 50 tables in an automated fashion. I have the following code, which I created with the help of textbooks and the internet, but it only seems to read in the final data file over and over again. For example, when I type:> table_1951 I get the same values in the table as when I type> table_2000 despite the values in the source tables being different:


year <- 1951:2000
filelist <- paste("C:\\Documents and Settings\\Data\ \table_",year,".txt", sep="")
filelist
# Code seems to operate successfully up to this point

for (i in filelist) {
  for (iyear in 1951:2000) {
assign(paste("table_",iyear, sep=""),read.table(file=i, header=TRUE, sep=",")) noquote(paste("LOADED FILE:",paste("table_",iyear, sep=""),sep=" "))
                    }
                    }


Can anyone see what I've done wrong here?

And just as an aside, as you can see, I've inserted the 'noquote' line so that when the code is running I should be able to see each file being read in - mainly as a 'checker'. Should this work as anticipated, with each line being displayed with its corresponding table number after it's been read in?

Many thanks for any help offered,

Steve


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_____________________________

Baptiste AuguiƩ

School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK

Phone: +44 1392 264187

http://newton.ex.ac.uk/research/emag

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