Suppose you're working with a large dataset in R and run into memory management issues. How would you handle this?
- Buy more RAM, Ignore optimizing the code, Continue working
- Ignore the issue, Continue working, Hope it gets resolved
- None of the above
- Use data.table package or equivalent, Optimize your R code, Consider using a database system
When working with larger datasets in R and encountering memory issues, one can use packages like data.table that are efficient in handling large datasets. Optimizing the R code and considering using a database system that can handle larger datasets can also be helpful. Simply adding more RAM might not always be the best or most cost-effective solution.
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