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I am running my code in R (under Windows) which involves a lot of in-memory data. I tried to use rm(list=ls()) to clean up memory, but seems the memory is still occupied and I cannot rerun my code. I tried to close the R and restart R again, but it is the same, seems memory is still occupied as when I run the codes it says it can't allocate memory (but it could at the first time). The memory seems only cleaned up after I restart my PC.
Is there any way to clean up the memory so that I can rerun my code without restarting my PC every time?
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Example: Clean Up R Memory Using gc() Function A call of the gc function causes a garbage collection to take place, and hence frees up some memory space. After running the previous R code, the R memory should be cleaned up.
You can force R to perform this check, and free the memory right away, by running the gc() command in R or going to Tools -> Memory -> Free Unused R Memory.
R uses more memory probably because of some copying of objects. Although these temporary copies get deleted, R still occupies the space. To give this memory back to the OS you can call the gc function.
Maybe you can try to use the function gc(). A call of gc() causes a garbage collection to take place. It can be useful to call gc() after a large object has been removed, as this may prompt R to return memory to the operating system. gc() also return a summary of the occupy memory.
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