Shiny Apps
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I have been working on developing some interactive tools for demonstrating statistical principles. The advent of the shiny framework for R from the RStudio team has made this very easy to do. These demos are still in the development stage, but they are designed to help refresh statistical knowledge for applied folks now working more and more with data in their jobs.
A link to each demo online, where you can use it, and a link to the code so you can run it on your local machine or clone it and modify it on your own is below. There is also the R code to run the demo locally on your machine.
Demos:
Shiny is great!
Coin Flipping
http://glimmer.rstudio.com/wisconsindpi/coin/
https://gist.github.com/4484930
To run this Gist locally, if you have R, just run:
library(shiny) runGist('4484930')
Election Polls
http://glimmer.rstudio.com/wisconsindpi/538
https://gist.github.com/4484951
library(shiny) runGist('4484951')
Correlations
http://glimmer.rstudio.com/wisconsindpi/correlation
https://gist.github.com/4484910
library(shiny) runGist('4484910')
Moments of Distributions
http://glimmer.rstudio.com/wisconsindpi/distribution
https://gist.github.com/4484886
library(shiny) runGist('4484886')
Draws from a Normal
http://glimmer.rstudio.com/wisconsindpi/normality
https://gist.github.com/4484868
library(shiny) runGist('4484868')
Sampling Methods
http://glimmer.rstudio.com/wisconsindpi/sampling
https://gist.github.com/4484845
library(shiny) runGist('4484845')
NFL Kicking and Probability
http://glimmer.rstudio.com/wisconsindpi/sports
https://gist.github.com/4484754
library(shiny) runGist('4484754')
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