> Begin forwarded message: > > From: RStudio Webinar <[email protected]> > Subject: Webinar with RStudio Experts: Shiny Gadgets: Interactive Tools > Date: October 5, 2016 at 9:30:51 AM EDT > To: [email protected] > Reply-To: [email protected] > > > Your Webinar Invitation > > We thought that we should send another email to invite you to our upcoming > webinar: Shiny Gadgets: Interactive Tools > > Date: October 12th > Time: 11:00 AM EST > > <http://info.rstudio.com/I020FNL0S9KKCY2X0r0XN00> > > > Description: > > A Shiny Gadget is an interactive tool that enhances your R programming > experience. You make Shiny Gadgets with the same package that you use to make > Shiny Apps, but you use Gadgets in a very different way. > > Where Shiny Apps are designed to communicate results to an end user, Gadgets > are designed to generate results for an R user. Each Shiny Gadget returns a > value that you can immediately use in your code. You use Shiny Gadgets during > the course of your analysis to quickly hone iterative tasks in an interactive > fashion. For example, you might use a Shiny Gadget to preview the matches > that are generated by a regular expression–as you write the expression. Or > you might use a Shiny Gadget to identify high leverage points in your > model–as you fit the model. Unlike Shiny Apps, Shiny Gadgets do not need to > be deployed on a server. Shiny Gadgets are defined right inside of a regular > R function. This is important, because it means that Gadgets can directly > access the function’s arguments, and the return value of the Gadget can be > the return value for the function. Despite this difference, almost everything > you know about Shiny Apps will transfer over to writing Shiny Gadgets. > > > > Presenter: > > Garrett Grolemund, Data Scientist and Master Instructor - Garrett is the > Editor and Chief of the Shiny Development Center (shiny.rstudio.com > <http://shiny.rstudio.com/>), the official source of documentation, articles, > and how-to examples for Shiny. He wrote the popular lubridate package and is > the author of Hands On Programming with R > <http://info.rstudio.com/WN02LCX9S0G2NYK00X0Lr00>and the upcoming book, R for > Data Science, from O’Reilly Media. He holds a PhD in Statistics and > specializes in Data Visualization. GitHub > <http://info.rstudio.com/s0Hr0S20LXCM0N0X9K20Y0N> > > We hope you can make it, > RStudio > > > Webinar Recordings: > > We try to record every webinar we host and post all materials on our website. > http://www.rstudio.com/resources/webinars/ > <http://info.rstudio.com/WN02NCX9S0I2NYK00X0Lr00> > > > > Copyright © 2014. All rights reserved. > <http://info.rstudio.com/a0200S02XN0L00GNBXCr9KY> > <http://info.rstudio.com/WN02HCX9S0C2NYK00X0Lr00> > <http://info.rstudio.com/c0902XKN0SCX02YNI0LDr00> > This email was sent to [email protected] <mailto:[email protected]>. If you > no longer wish to receive these emails you may unsubscribe > <http://info.rstudio.com/u/uEC000LX9S0Y0J02rKXNN20> at any time. >
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