Best file type for loading data in to R (speed wise)?
问题 I'm running some analysis where I'm getting quite a few datasets that are between 2-3G's. Right now, I'm saving this as .RData file types. Then, later I'm loading these files to continue working, which is taking some time to load in. My question is: would saving then load these files as .csv's be faster. Is data.table the fastest package for reading in .csv files? I guess I'm looking for the optimum workflow in R. 回答1: Based on the comments and some of my own research, I put together a