As Jim points out, building up a data frame by rbinding in a loop can be
a slow way to do things in R.
Here's an example of how you can easily read data frames into a list:
> # Create 3 files
> invisible(lapply(1:3, function(i)
write.csv(file=paste("tmp",i,".csv",sep=""),
data.frame(i=2*i+(
Read the data into a list and then:
do.call('rbind', myList)
at the end so you do it only once. You are having to reallocate
memory each iteration, so no wonder it is slow.
On 7/17/07, Aydemir, Zava (FID) <[EMAIL PROTECTED]> wrote:
> Hi
>
> I rbind data frames in a loop in a cumulative way and
Hi
I rbind data frames in a loop in a cumulative way and the performance
detriorates very quickly.
My code looks like this:
for( k in 1:N)
{
filename <- paste("/tmp/myData_",as.character(k),".txt",sep="")
myDataTmp <- read.table(filename,header=TRUE,sep=",")
if( k == 1) {
