Building R Packages
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| Rating | 3.6★ based on 48 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University via Coursera |
| Instructors | Roger D. Peng, PhD, Brooke Anderson |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Data Analysis Software Development |
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What people are saying
building r packages
Here are the links: http://rpubs.com/DocOfi/350304 and http://rpubs.com/DocOfi/350099 This course provides useful knowledge in building R packages, as well as opportunities to implement our knowledge.
Overall, this was a good course to learn the intricacies of building R packages.
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going through
Almost all of the information is a screen scrape from a book and peer-evaluation, so you may be better off just getting the book and going through it.
You will learn how to develop, publish and maintain a R package, and it's quite an interesting skill that will change the way you manage your code (you'll probably always store your code in documented packages you'll host on gitHub then).Though it's a pertty hard MOOC for many reasons : quite inactive community, information you'll get in lessons isn't enough to complete assignments, course material is just book you'll have to read (no video, no interaction), you'll probably have the feeling you're going through something that's not really finished.
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| Rating | 3.6★ based on 48 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University via Coursera |
| Instructors | Roger D. Peng, PhD, Brooke Anderson |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Data Analysis Software Development |
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