Imagine you're working with a large data set in R and need to perform operations on an array that's not memory-efficient. How would you handle this situation?
- Utilize memory-mapping techniques to access data on disk
- Implement chunk-wise processing to operate on subsets of the array
- Convert the array to a sparse representation if applicable
- All of the above
When working with a large data set in R and facing memory limitations with an array, you can handle the situation by utilizing memory-mapping techniques to access data on disk instead of loading everything into memory at once. Another approach is to implement chunk-wise processing, where you operate on subsets of the array at a time to reduce memory usage. Additionally, if the array has a sparse structure, converting it to a sparse representation can significantly reduce memory requirements while still allowing efficient operations. These strategies enable working with large arrays that do not fit entirely in memory.
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