Suppose you're asked to optimize a piece of R code that operates on large data frames. What are some strategies you could use to improve its performance?
- Use vectorized operations instead of loops
- Subset the data frame to only necessary columns
- Use data.table instead of data.frame
- All of the above
All of the mentioned strategies can help optimize code that operates on large data frames. Vectorized operations avoid loops, subsetting to necessary columns reduces memory usage, and using the data.table package can enhance performance.
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