Reproducible research with R and R Studio
Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research.
Suitable for researchers in any quantitative empirical disc.
- First published
- 2014
- Publishers
- CRC Press/Taylor & Francis Group
- Subjects
- Research·Statistical methods·R mathematics·Probability·Statistics·General
This one is very useful as a general introduction to multiple aspects of "reproducible research". There are now many books on the subject and I expect quite some overlap.
Christopher Gandrud's "Reproducible Research with R and RStudio" is a very useful book and well written. It serves at least three important purposes: it pushes the reproducible research agenda (providing the ability for the original researcher or others to be able to re-run and confirm work in the future), it gives a good selection and overview of critical tools in and near the R ecosystem (R, RStudio, knitr, git, latex, Markdown), and describes some good work habits (such as the directory layout suggested on the cover).
Terrible text quality. I can't miss the book, otherwise I would send it back because the text is so light that you can't read it.
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