What strategies can you use to handle large datasets in R?

All of the mentioned strategies can be used to handle large datasets in R. Using packages like data.table or dplyr can significantly improve the efficiency of data manipulation operations. Reading data in chunks using functions from the readr package helps in loading large datasets in manageable portions. Filtering or subsetting the data allows you to work with specific subsets of the data rather than the entire dataset at once, reducing memory usage and improving performance. The choice of strategy depends on the specific requirements and characteristics of the dataset.