Greetings.
I've got some analysis problems I'm trying to solve, the raw data for which
are accumulated in a bunch of time-and-date-based files.
/some/path/2005-01-02-00-00-02
etc.
The best 'read all these files' method I've seen in the r-help archives comes
down to
for (df in my_list_of_filenames )
{
dat <- rbind(dat,my_read_function(df))
}
which, unpleasantly, is O(N^2) w.r.t. the number of files.
I'm fiddling with other idioms to accomplish the same goal. Best I've come up
with so far, after extensive reference to the mailing list archives, is
my_read_function.many<-function(filenames)
{
filenames <- filenames[file.exists(filenames)];
rv <- do.call("rbind", lapply(filenames,my_read_function))
row.names(rv) = c(1:length(row.names(rv)))
rv
}
I'd love to have some stupid omission pointed out.
- Allen S. Rout