thx everyone for your help...for simplicity, i elected to stay with a text
file and transpose it so that each new row of data is really a column...in
this transposed file, the header is really the row labels. the first cell
has the name of the row labels (RowID in this case)...
here's code
I'd put the extra columns in their own data frame, and save that to disk
(use dates/times/process ids or some other unique identifier in the
filenames to distinguish them). When you need access to a mixture of
columns, load (or source, depending how you did the save) the columns you
need,
ugh!
scan(what= does this...
thx anyway,
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Have you looked at the g.data package? It might be useful
(but may still require some redesign of your dataset).
Greg Snow, Ph.D.
Statistical Data Center, LDS Hospital
Intermountain Health Care
[EMAIL PROTECTED]
(801) 408-8111
Ken Termiso [EMAIL PROTECTED] 10/13/05 08:14AM
I'd put the
Hi all,
I've got a script that generates a few moderate-size data frames, and then
puts them together into one big data frame at the end in order to write that
data frame to disk, so that it may be re-opened later on...
I'm trying to trim down memory requirements in this script, so I was
Ken Termiso wrote:
Hi all,
I've got a script that generates a few moderate-size data frames, and then
puts them together into one big data frame at the end in order to write that
data frame to disk, so that it may be re-opened later on...
I'm trying to trim down memory requirements in
