548 search results for "Shiny"

Introducing Shiny: Easy web applications in R

November 8, 2012
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Introducing Shiny: Easy web applications in R

Say hello to Shiny, a new R package that we’re releasing for public beta testing today. Shiny makes it super simple for R users to turn analyses into interactive web applications that anyone can use. These applications let you specify input parameters using friendly controls like sliders, drop-downs, and text fields; and they can easily

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R, Julia and the shiny new thing

April 12, 2012
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R, Julia and the shiny new thing

My head exploded a while ago. Perhaps not my head but my brain was all mushy after working every day of March and first week of April; an explanation—as good as any—for the post hiatus. Back to the post title. … Continue reading →

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The first NYC R Conference is being held at Work-Bench April 24-25

April 19, 2015
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The first NYC R Conference is being held at Work-Bench April 24-25

The first NYC R Conference is being held at Work-Bench April 24-25.  This is a place for R enthusiasts and data scientists to gather and explore, share and inspire ideas.  It is two days full of speakers from the R and data communities discussing theoretical and applied topics such as Shiny dashboards, Bayesian methods, high performance computing and data visualization.  While focused on R...

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R User Group Meetings this week in the Bay Area and around the world

April 16, 2015
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R User Group Meetings this week in the Bay Area and around the world

by Joseph Rickert Tracking R user group meetings is a good way to stay informed about what's happening in the R world. On Tuesday the Bay Area useR Group (BARUG) met at AdRoll in San Francisco. It was a mini-conference with 6 talks: Bryan Galvin our host at AdRoll (many thanks for the pizza and beer) kicked off the...

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R and package masking – a real life example

April 15, 2015
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R and package masking – a real life example

From original post @http://analyticsblog.mecglobal.it/e

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Interactive time series with dygraphs

April 14, 2015
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Interactive time series with dygraphs

The dygraphs package is an R interface to the dygraphs JavaScript charting library. It provides rich facilities for charting time-series data in R, including: Automatically plots xts time-series objects (or objects convertible to xts). Rich interactive features including zoom/pan and series/point highlighting. Highly configurable axis and series display (including optional 2nd Y-axis). Display upper/lower bars (e.g. prediction

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RPowerLabs: Electric power system virtual laboratories online

April 14, 2015
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RPowerLabs: Electric power system virtual laboratories online

by Ben Ubah Founder, RPowerLabs No disregard to R's colleagues, R is pioneering the creation of online virtual electric power system laboratories via RPowerLABS. RPowerLABS is a project, with the vision of deploying online, a vast array of highly demanded power system simulations for teaching and research using R. It started as an attempt to apply R to electric...

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sparklines for R

April 10, 2015
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I’ve always liked the jQuery Sparklines library and today I had a use case for implementing these in one of my Rmarkdown reports. While it wouldn’t be too difficult to staticly include a javascript based chart, ideally I would simply want to dynamically generate the sparkline using values computed in R. Luckily we now have htmlwidgets for...

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New video course: Campaign Response Testing

April 8, 2015
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New video course: Campaign Response Testing

I am proud to announce a new Win-Vector LLC statistics video course: Campaign Response Testing John Mount, Win-Vector LLC This course works through the very specific statistics problem of trying to estimate the unknown true response rates one or more populations in responding to one or more sales/marketing campaigns or price-points. This is an old … Continue reading...

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Six Ways You Can Make Beautiful Graphs (Like Your Favorite Journalists)

April 8, 2015
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Six Ways You Can Make Beautiful Graphs (Like Your Favorite Journalists)

This post shows how to make graphs like The Economist, New York Times, Vox, 538, Pew, and Quartz. And you can share–embed your beautiful, interactive graphs in apps, blog posts, and web sites. Read on to learn how. If you like interactive graphs and need to securely collaborate with your team, contact us about Plotly Enterprise.

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