Re: [R] R Memory Usage Concerns

7;ll poke around at the internals and see where the extra memory is going, since I'm still curious where the extra memory is going. Is that just the overhead of allocating a full object for each value (i.e. rather than just a double[] or whatever)? -- Evan Klitzke :wq _

Re: [R] R Memory Usage Concerns

long string"), > 1000, replace=TRUE)) 8184 bytes > object.size(factor(sample(c("a pretty long string", "another pretty long > string"), 1000, replace=TRUE))) 4560 bytes -- Evan Klitzke :wq __ R-help@r-project.org mailing

Re: [R] R Memory Usage Concerns

ly in an interpreter like this you'd be allocating on order-of-two boundaries, i.e. sizeof(obj) << 21; this is how Python lists internally work). Is it possible that R is counting its memory usage naively, e.g. just adding up the size of all of the constituent objects, rather than the am

[R] R Memory Usage Concerns

servlets.append(s) timestamps.append(float(t)) elapsed.append(float(e)) show_mem() if __name__ == '__main__': show_mem() read_data('/home/evan/20090708.tab') -- Evan Klitzke :wq __