October 2011
Beginner to intermediate
400 pages
9h 30m
English
Content preview from The Art of R ProgrammingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Oh No, the Data Doesn’t Fit into Memory!
As mentioned earlier, all objects in an R session are stored in memory. R places a limit of 231−1 bytes on the size of any object, regardless of word size (32-bit versus 64-bit) and the amount of RAM in your machine. However, you really should not consider this an obstacle. With a little extra care, applications that have large memory requirements can indeed be handled well in R. Some common approaches are chunking and using R packages for memory management.
Chunking
One option involving no extra R packages at all is to read in your data from a disk file one chunk at a time. For example, suppose that our goal is to find means or proportions of some variables. We can use the skip argument in read.table() ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.