November 2018
Beginner to intermediate
420 pages
10h 4m
English
book
Hands-On Data Science with R
by Doug Ortiz, Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
Content preview from Hands-On Data Science with R
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Saving analysis for future work
R packages, especially the popular ones, are frequently updated. Although the packages go through a rigorous testing process before being accepted on CRAN, it is sometimes necessary to be able to save your work at a point in time. This comes up often during production development using R packages. Reproducibility of results are also oftentimes needed in regulated environments by regulators such as the FDA.
R provides some unique and mature capabilities to store and persist data at a point in time. To retrieve the results, all the user needs to do is simply revert to a pre-saved version of the work.
The three most popular methods of saving R work in a reproducible framework are:
- Packrat
- Checkpoint
- Rocker
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.