R offers a breadth and depth in statistical computing beyond what is available in commercial closed source products. Yet R remains, primarily, a programming language for the highly skilled statistician, and out of the reach of many. --- The R Journal Vol. ½, December 2009
Note: Name changed from Interactive R Language Online Learning Platform: CloudStat School
As stated, R is the best tool and is the lingua franca of statistics. But many people, especially my students found difficulties to use R.
I wish to make an interactive R Learning Platform, called CloudStat School.
The best way to learn R programming is doing while learning.
In CloudStat School, you will see a console box at your top left hand side, while the lesson notes at your top right. Bottom is the output box. Anything you “Run” in console box will be shown as a result in the output box.
So, while learning the notes, you can “run” the R examples immediately without open another windows, software or tabs. You can do it in a page.
I did make a simple working prototype: Lesson 1: Overview of R Language & CloudStat School
The prototype is simply integrating R Web that hosted in Pôle Bioinformatique Lyonnais in iframe.
If many of you think that this idea great, I would start making a better version.
This is my current simple idea, hope to get some feedback from you.
Thanks a lot.
If you want to use R in a professional environment, you can expect to spend at least six months developing the knowledge you need. Like any programming language, it's hard to estimate how long it will take you to learn it. R is very different from many programming languages.
Python and R are both free, open-source languages that can run on Windows, macOS, and Linux. Both can handle just about any data analysis task, and both are considered relatively easy languages to learn, especially for beginners.
It would probably be much more resource intensive and require more effort to create, but check this out: I found Code Academy to be a fun way to tinker with JavaScript. Unfortunately the site is (so far) only for a single language and a closed-source, venture-backed startup.
The main problem is that Rweb (as I am learning right now) does execute everything in batch, so this interpreted line-by-line approach used in CA probably cannot be done with it. If you were to create a similar app to CA for R, you'd have to open an R session for every user, hence the resource intensiveness disadvantage stated above. Hope this can be overcome, maybe someone will have an idea.
Hope you find this useful, at least as an inspiration for your endeavors. I wish you the best of luck.
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