search for: pendler

Is there a way to efficiently read large datasets directly into a matrix byrow? I know data.frame, but for large datasets it doesn't efficiently work, also if I increase the cons memory. R --nsize 1000k --vsize 90M ... > x<-read.table("pendler.luft.txt") Error: cons memory (1000000 cells) exhausted See "help(Memory)" on how to increase the number of cons cells. > Also the following is problematic: R --nsize 1000k --vsize 90M ... > x<-scan("pendler.luft.txt",skip=1) Read 3164832 items > x<-...

Hallo, I am using rsync to copy remote files into a local directory. I use the following flags: "--remove-sent-files --partial-dir=/tmp --partial --temp-dir=/tmp --backup --suffix=.bak". I need the partial issue since in the final destination I must have only closed and full files. I need to remove the sent files from the destination since I need to avoid transferring the same file

Hi, All. I've got a feeling it's a simple matter and it was discussed on this list (i've searched the archive) but still all answers i've found didn't solve this problem. We want to move from UW-IMAP to dovecot, when users INBOX is /var/mail/USER_NAME and his folders are ~USER_NAME/mail/. In addition the host is an FTP server that uses chrooting in order to prevent users from