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

This is a newer answer to this excellent old question. From Hadley's Advanced R:

install.packages("pryr")

library(pryr)

object_size(1:10)
## 88 B

object_size(mean)
## 832 B

object_size(mtcars)
## 6.74 kB

(http://adv-r.had.co.nz/memory.html)