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Machine Learning with R by Brett Lantz

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Managing data with R

One of the challenges faced when working with massive datasets involves gathering, preparing, and otherwise managing data from a variety of sources. This task is facilitated by R's tools for loading data from many common formats.

Saving and loading R data structures

When you have spent a lot of time getting a particular data frame into the format that you want, you shouldn't need to recreate your work each time you restart your R session. To save a particular data structure to a file that can be reloaded later or transferred to another system, you can use the save() function. The save() function writes R data structures to the location specified by the file parameter. R data files have the file extension .RData.

If we had three ...

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