I really love this new package for making R easy to learn ( and ergo to teach) . See swirl
a clever and painstaking way to teach R – this one deserves kudos to the package creators
| Author: | Nick Carchedi [aut, cre],
Bill Bauer [aut], Gina Grdina [aut], Sean Kross [aut] |
A typical swirl session has a user load the package from the R console, choose from a menu of options the course he or she would like to take, then work through 10-15 minute interactive modules, each covering a particular topic.
A module generally alternates between instructional text output to the user and prompts for the user to answer questions.
One question may ask for the result of a simple numerical calculation, while another requires the user to enter an actual R command (which is parsed and executed, if correct) to perform a requested task.
Multiple choice, text-based and approximate numerical answers are also fair game.
Whenever the user answers a question incorrectly, immediate feedback is given in the form of a hint before prompting her to try again.
Finally, plots, figures, and even videos may be incorporated into a module for the sake of reinforcing the methods or concepts being taught.
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Note I really hope people who have been passionate about creating the wonderful tutorials and slides for R take a second or two to demo the CRAN package “swirl”
http://cran.r-project.org/web/packages/swirl/index.html
Hopefully we can see Big Data or even R Hadoop Tutorials on swirl soon
From
https://github.com/swirldev/swirl_courses#swirl-courses
The following are some of our more popular courses:
- R Programming
- Regression Models (in progress)
- Data Analysis
- Mathematical Biostatistics Boot Camp
- Open Intro
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DECISION STATS 