417 search results for "shiny"

Review of “Building interactive graphs with ggplot2 and shiny”

August 4, 2014
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Recently, Packt published a video course with the above title, and I've just spent a pleasant morning reviewing it on Packt's request. Pleasant, because I think the course gives an excellent introduction to both ggplot2 and shiny. The course is … Continue reading →

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Shiny 0.10.1

July 31, 2014
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Shiny 0.10.1

Shiny v0.10.1 has been released to CRAN. You can either install it from a CRAN mirror, or update it if you have installed a previous version. install.packages('shiny', repos = 'http://cran.rstudio.com') # or update your installed packages # update.packages(ask = FALSE, repos = 'http://cran.rstudio.com') The most prominent change in this patch release is that we added full

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drinkR: Estimate your Blood Alcohol Concentration using R and Shiny.

July 30, 2014
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drinkR: Estimate your Blood Alcohol Concentration using R and Shiny.

Inspired by events that took place at UseR 2014 last month I decided to implement an app that estimates one’s blood alcohol concentration (BAC). Today I present to you drinkR, implemented using R and Shiny, Rstudio’s framework for building web apps using R. So, say that I had a good dinner, drinking a couple of glasses...

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Building Interactive Graphs with ggplot2 and Shiny

July 30, 2014
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Building Interactive Graphs with ggplot2 and Shiny

Some time ago, I was contacted from guys at Packt Publishing. Their just published the Building Interactive Graphs with ggplot2 and Shiny online course and they ask me my (humble) opinion. I am proud of their request, and I will review shortly … Continue reading →

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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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