Learner Reviews & Feedback for Building R Packages by Johns Hopkins University

There is much I like about this course and also many areas for improvement. First, the online book that comes with the course presents an excellent overview of the steps required to build an R package. It will eventually get you where you need to go. However, some of the material is now out of date (e.g. functions moved from one package to another), there are no longer any mentors around, and the discussions boards are empty apart from people trying to get their assignments peer graded. Also, the content in the book, while good, is incomplete in many cases. I would highly suggest buying the "R Packages" book by Hadley Wickham as an additional reference since it fills many of the gaps and goes into much greater detail.

good but needs a little updating - several commands this teaches you to use are now depracated.

This course was not great. 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. The mentors very occasionally participated, the authors never. The assignments are poorly written and missing too much detail.

The material is not bad, however, this is just a refurbished version of a corresponding book written by the authors. Literally, all the readings are just excerpts from this book with typos all over the place. Save some money and just read that, I think this is a minimal extra work cash grab and you feel that all throughout. The final project is fine but not too fun (and the reading material is insufficient for it), it isn't worth the money either.

Lots of outdated material and no mentors remain to assist. Documentation is incomplete and left to the user's imagination. There have got to be better courses than this.

This course really boosted my confidence in writing codes, functions and i look forward to someday writing my own package. The course left me on such a high note that I made a couple of presentations using the plots in my vignette. I wanted to somehow show my appreciation to the authors of the course. The choice of a real life dataset made it really very interesting for me. Here's the link to the presentations i made. I'm not sure if it should be shared with your students, so i'll leave that up to you. Thanks again for making learning so much fun. BTW, it was a bit of a cliffhanger for me. I only got my package to pas travis at the last minute. Here are the links:

http://rpubs.com/DocOfi/350304 and

http://rpubs.com/DocOfi/350099

Among the worst courses I have found on Coursera. Once again, just a bunch of text, cut and pasted (sloppily) from their book and other resources. Examples are poor and insufficient, and much of what they ask you to do in the project is not covered well, or at all in the course forcing you to learn on your own. I don't object to self-education, but then, why bother taking this course? Can't believe they are charging money for this.

This isn't really a course, consists just of having you read a book. There is zero content, zero support and zero walk-troughs. The final project is over-complex, given the level of content and support provided by the course. I don't recommend this course to anyone.

Poor course material made it difficult to complete the final assignment. The course has little to do with R and more to do with Software development methodologies.

Final assignment may not be reviewed for weeks. If you go on to capstone, issue could extent into months. Expect to use many external resources.

R packages are essential learning. This class covers packages including documentation, vignettes, testing, building, and checking for compatibility with CRAN. It also gets you into git and travis (for continuous integration), with an entire side of open source philosophy and legal. If you can pass this, you *will* be able to create and maintain an R package.

The difficulty of the c ourse will depend on your background. If you have software development experience plus git, the course details the steps of releasing an R package to the community. If you have never worked with git or released software, this is a good way to tie those skills to your R skills.

This course provides useful knowledge in building R packages, as well as opportunities to implement our knowledge. However, as the previous courses in the series, the last module (week) is extremely challenging compared to the previous ones.

Fantastic course... Unfortunately, not too many people registered, it's tough to get your assignments graded. The program is the great continuation to the 10 course R data science specialization...

Very good course for intermediate/advanced R users. Sad that you are elegible to do assignments only if you pay.

Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.

There are not so mang classmates for peer reviewing. Please set other alternative ways for grading

This is a critical skill and it's barely covered anywhere else. Thanks for making this course!

This is an excellent course, a really good starting point to learn how to build R packages.

Overall, this was a good course to learn the intricacies of building R packages.

It teaches the up-to-date approaches, in a concise and also systematic way

Good slow walk through of the process for creating and checking a package

Amazing course! Will explain every detail regarding R package creation.

very good, an interesting way of learning.

high-level examination

I finally started building R packages!!! Lots of useful bits