442 search results for "shiny"

Announcing Shiny Server Pro 1.2

July 24, 2014
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Announcing Shiny Server Pro 1.2

RStudio is very pleased to announce the general availability of Shiny Server Pro 1.2. Download a free 45 day evaluation of Shiny Server Pro 1.2 Shiny Server Pro 1.2 adds support for R Markdown Interactive Documents in addition to Shiny applications. Learn more about Interactive Documents by registering for the Reproducible Reporting webinar August 13

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Interactive visualization of non-linear logistic regression decision boundaries with Shiny

Interactive visualization of non-linear logistic regression decision boundaries with Shiny

(skip to the shiny app) Model building is very often an iterative process that involves multiple steps of choosing an algorithm and hyperparameters, evaluating that model / cross validation, and optimizing the hyperparameters. I find a great aid in this process, for classification tasks, is not only to keep track of the accuracy across models, »more

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Master interactive documents at the Shiny Dev Center

July 21, 2014
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Master interactive documents at the Shiny Dev Center

We’ve added a new section of articles to the Shiny Development Center. These articles explain how to create interactive documents with Shiny and R Markdown. You’ll learn how to Use R Markdown to create reproducible, dynamic reports. R Markdown offers one of the most efficient workflows for writing up your R results. Create interactive documents

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Pick a Color Site built in R with Shiny tags %$%

July 16, 2014
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I started down the color path with yesterday’s post Palette of Colors from Image %>% ggplot2 %>% rCharts + dimple.js.  Although R has lots of tools, such as RColorBrewer and the mentioned rPlotter, javascript does too with Gregor Aisch's chroma.js and this translated-from-Perl color-scheme-js. I figured I should explore these javscript color tools but not in the easy way. ...

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Win Your Fantasy Football Draft with These Shiny Apps: 2014 Update

July 13, 2014
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Win Your Fantasy Football Draft with These Shiny Apps: 2014 Update

By popular demand, I updated the fantasy football draft optimizers with 2014 projections.  There are two draft optimizers (one for auction drafts and one for snake drafts).  The optimizers identify The post Win Your Fantasy Football Draft with These Shiny Apps: 2014 Update appeared first on Fantasy Football Analytics.

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Identify Fantasy Football Sleepers with this Shiny App

July 6, 2014
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This post describes a Shiny app that identifies fantasy football sleepers.  The app allows you to modify your league settings, and calculates robust averages of projections across numerous sources.  Best of all, The post Identify Fantasy Football Sleepers with this Shiny App appeared first on Fantasy Football Analytics.

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Win a free copy of a new video course on ggplot2 and Shiny!

July 1, 2014
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Win a free copy of a new video course on ggplot2 and Shiny!

Noticed all these posts on r-bloggers about ggplot2 and shiny? Do you want in? My course “Building Interactive Graphs with ggplot2 and Shiny” (published by Packt Publishing) covers those 2 packages in a series of 40 videos, each one dedicated … Continue reading →

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Shiny cheat sheet

June 30, 2014
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Shiny cheat sheet

Shiny v0.10 comes with a quick, handy guide. Use the Shiny cheat sheet as a quick reference for building Shiny apps. The cheat sheet will guide you from structuring your app, to writing a reactive foundation with server.R, to laying out and deploying your app.     You can find the Shiny cheat sheet along with

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A Simple Shiny App for Monitoring Trading Strategies

June 25, 2014
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A Simple Shiny App for Monitoring Trading Strategies

In a previous post I showed how to use  R, Knitr and LaTeX to build a template strategy report. This post goes a step further by making  the analysis  interactive. Besides the interactivity, the Shiny App also solves two problems : I can now access all my trading strategies from a single point regardless of the instrument traded.

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Shiny 0.10

June 20, 2014
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Shiny 0.10

Shiny 0.10 is now available on CRAN. Interactive documents In this release, the biggest changes were under the hood to support the creation of interactive documents. If you haven’t had a chance to check out interactive documents, we really encourage you to do so—it may be the easiest way to learn Shiny. New layout functions

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