Tricks to manage the available memory in an R session

Question

What tricks do people use to manage the available memory of an interactive R session? I use the functions below [based on postings by Petr Pikal and David Hinds to the r-he

Answer 1

Unfortunately I did not have time to test it extensively but here is a memory tip that I have not seen before. For me the required memory was reduced with more than 50%. When you read stuff into R with for example read.csv they require a certain amount of memory. After this you can save them with save("Destinationfile",list=ls()) The next time you open R you can use load("Destinationfile") Now the memory usage might have decreased. It would be nice if anyone could confirm whether this produces similar results with a different dataset.