You are given a task to optimize an R script which is taking too long to execute. Can you discuss your approach to identify potential bottlenecks and solve them?
- Add more RAM to the system
- Ignore the issue and hope the script completes eventually
- None of the above
- Use Rprof() to profile the code, Use efficient data structures, Vectorize operations, Use parallel processing if possible
Performance optimization in R often involves identifying bottlenecks (Rprof() can help with this), using more efficient data structures (like data.table), and vectorizing operations. If the task is highly computational and the system has multiple cores, using parallel processing might also help speed up the execution.
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