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    <p>From: </p> <p><a href="http://gking.harvard.edu/zelig/docs/How_do_I2.html" rel="noreferrer">http://gking.harvard.edu/zelig/docs/How_do_I2.html</a> (<a href="https://web.archive.org/web/20091208054821/http://gking.harvard.edu/zelig/docs/How_do_I2.html" rel="noreferrer">mirror</a>)</p> <blockquote> <p>Windows users may get the error that R has run out of memory. </p> <p>If you have R already installed and subsequently install more RAM, you may have to reinstall R in order to take advantage of the additional capacity. </p> <p>You may also set the amount of available memory manually. Close R, then right-click on your R program icon (the icon on your desktop or in your programs directory). Select ``Properties'', and then select the ``Shortcut'' tab. Look for the ``Target'' field and after the closing quotes around the location of the R executible, add </p> <p>--max-mem-size=500M</p> <p>as shown in the figure below. You may increase this value up to 2GB or the maximum amount of physical RAM you have installed. </p> <p>If you get the error that R cannot allocate a vector of length x, close out of R and add the following line to the ``Target'' field: </p> <p>--max-vsize=500M</p> <p>or as appropriate. You can always check to see how much memory R has available by typing at the R prompt </p> </blockquote> <pre><code>memory.limit() </code></pre> <p>which gives you the amount of available memory in MB. In previous versions of R you needed to use: round(memory.limit()/2^20, 2)</p>
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    1. POIncreasing (or decreasing) the memory available to R processes
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    1. POIncreasing (or decreasing) the memory available to R processes
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    1. CONote that on 32-bit Windows, R can only use up to 3Gb of RAM, regardless of how much you have installed. There is a 64-bit version of R for Windows available from REvolution Computing, which runs on 64-bit Windows and can use all the RAM available: http://www.revolution-computing.com/products/revolution-enterprise.php
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      1. USDavid Smith
    2. COJust two notes: (i) memory.limit() only works on Windows, and (ii) the command that will return the proper answer is round(memory.limit(),2) -- at least on my version of R (2.8.1).
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    3. COAny suggestion on how to get similar information as memory.limit() working on linux?
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