Turn Statistical Analyses into Interactive Web Applications

Sponsored by The Western Mass Data Science Meet-up (RSVP here)

Jay (John) Emerson from Yale has offered to give a crash course in Shiny.

From the folks at R Studio: "Shiny makes it super simple for R users like you to turn analyses into interactive web applications that anyone can use. Let your users choose input parameters using friendly controls like sliders, drop-downs, and text fields. Easily incorporate any number of outputs like plots, tables, and summaries. No HTML or JavaScript knowledge is necessary. If you have some experience with R, you’re just minutes away from combining the statistical power of R with the simplicity of a web page."

I'm not sure it is quite that easy, so I'll show a few basic Shiny apps and will demonstrate how my in-development package ShinyHelper can -- yes -- help you get started with Shiny.


In addition to Jay's talk, Ken Kleinman has offered to give a lightning talk (10 minutes) on his Shiny app:


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  • Andy A.

    This is a much better map: http://goo.gl/maps/GAJ5a

    The street address is unplaceable by Google (or by anyone else, for the most part).

    September 10, 2013

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  • Leah
    Developer, Organizer
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