On Fri, 2013-12-27 at 16:47 -0600, Hadley Wickham wrote:
> For your original case, you may find it more useful to do memory +
> line profiling (e.g. as visualised by
> https://github.com/hadley/lineprof) to figure out what's going on.
>
> Hadley
I've been trying memory and line profiling, but mem
Hi Ross,
It's not obvious how useful memory.profile() is here. I created the
following little experiment to help me understand what
memory.profile() is showing (and to make it easier to see the
changes), but it's left me more confused than enlightened:
m_delta <- function(expr) {
# Evaluate in
I am trying to understand why a function causes my memory use to
explode. While doing that I noticed that my memory use as reported by
gc() is growing, but the results of memory.profile() are almost
unchanged (the count for raw grew by 3). How can the two functions
produce different results, and
3 matches
Mail list logo
