You haven't even told us your OS!
The simple solution is to use a local copy of R. It is probably the case
that few of those 1500 packages are used, and certainly that few are used
in each R session: you may also want to install locally any that are
heavily used.
We found it advantageous to d
Dear all,
I wonder, if anybody experiences similar problems and if there are any simple
solutions to be suggested. We observe that R causes a lot of network traffic
and thus slows down the performance of the whole network. When tracing the
network traffic on the machine which serves the R inst
