As Big Data and data analytics become more critical business functions, developers are turning more to R to support data mining and analysis apps. And since it's open source, you can incorporate R apps into your arsenal of business apps and keep the data divers happy. Whether you're new to R or looking to ramp up your R game, here are a few R tutorial blogs that can keep you on the right track.
The course table of contents lists the following subjects:
I found the case studies particularly interesting. The JAMA case study examines a paper that appeared in the Journal of the American Medical Association, and use R to confirm the results of cholesterol testing and results. That's definitely putting R to some good use. If you like what you see here, the author of this post Kelly Black has also written a book about programming R called: R Object Oriented Programming, published by Packt Publishing.
Having found that elementary statistics with R tutorial, I dug deeper into that. This tutorial take you through the following statistical topics, and shows how you can address the problems with R:
The post describes the tutorial elements as follows: "The R solutions are short, self-contained and requires minimal R skill. Most of them are just a few lines in length. With simple modifications, the code samples can be turned into homework answers. In additional to helping with your homework, the tutorials will give you a taste of working with statistics software in general, and it will prove invaluable in the success of your career." This ought to set you well on your way to smoother number crunching with R.
Posted by Lafe Low on 10/27/2017 at 11:39 AM