glm用完了64位R中的内存？

Question

I am trying to run glm on a dataset with 255001 data points, but it's saying

Error: cannot allocate vector of size 10.0 Gb

This is very strange because when I start up R, I see the message

R version 3.1.1 (2014-07-10) -- "Sock it to Me"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

Which seems to indicate that I'm running a 64 bit version of R, and I read that the memory limit for 64 bit versions of R on Unix is on the order of 128 Tb.

Furthermore, I have successfully run glm logistic regression on very similar datasets that are twice as large without any problem.

How can I reconcile these facts, and how can I get R to hold large objects in memory?

Answer 1

It turns out there was a bug in my code, and when I was reading in the data, I set header=FALSE instead of header=TRUE . Changing this fixed the problem.