971 search results for "Shiny"

Shiny module design patterns: Pass module inputs to other modules

April 19, 2016
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Shiny module design patterns: Pass module inputs to other modules

Continuing in the series of shiny module design patterns, this post covers how to pass all the inputs from one module to another. TL;DR Return input from within the server call. Store the callModule() result in a variable. Pass the variable into arguments for other modules. Access the variable like you would input. Steal the The post

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Display element ids for debugging Shiny apps

April 19, 2016
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Display element ids for debugging Shiny apps

My current Shiny project contains at least five tables and I constantly forget how they are called. So I whipped up a little bookmarklet that uses jQuery to show the id of each div and input. Some of those can be ignored as they are internal names set ...

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The Eurovision 2016 song contest in an R Shiny app

April 18, 2016
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The Eurovision 2016 song contest in an R Shiny app

Introduction In just a few weeks the Eurovision 2016 song contest will be held again. There are 43 participants, two semi-finals on the 10th and 12th of May and a final on the 14th of May. It’s going to be a … Continue reading →

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Shiny module design patterns: Pass module input to other modules

April 14, 2016
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Shiny module design patterns: Pass module input to other modules

Following on from looking at the shiny modules design pattern of passing an input value to many modules, I’m now going to look at a more complex shiny module design pattern: passing an input from one module to another. TL;DR Return the input in a reactive expression from within the server call. Store the callModule() The post

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Try’in to 3D network: Quest (shiny + plotly)

April 8, 2016
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Try’in to 3D network: Quest (shiny + plotly)

I have an unnatural obsession with 4-dimensional networks. It might have started with a dream, but VR  might make it a reality one day. For now I will settle for  3D networks in Plotly. Presentation: R users group (more) More: networkly

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Election analysis contest entry part 3 – interactive exploration of voting locations with leaflet and Shiny

April 8, 2016
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Election analysis contest entry part 3 – interactive exploration of voting locations with leaflet and Shiny

Motivation This post is the third in a series that make up my entry in Ari Lamstein’s R Election Analysis Contest. First I introduced the nzelect R package from a user perspective. Second was a piece on how the build of that package works. Today, the third in the series introduces an interactive map of...

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Shiny module design patterns: Pass a single input to multiple modules

April 8, 2016
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Shiny module design patterns: Pass a single input to multiple modules

For the awesome Shiny Developers Conference back in January, I endeavoured to learn about shiny modules and overhaul an application using them in the space of two days. I succeeded and almost immediately switched onto other projects, thereby losing most of the hard-won knowledge! As I rediscover shiny modules and start putting them into more The post

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The Coaster Maker by Shiny

April 4, 2016
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The Coaster Maker by Shiny

The word you invented is well formed and could be used in the Italian language (The Accademia della Crusca regarding to the word “Petaloso”, recently invented by an eight-year-old boy) Are you tired of your old coasters? Do you like to make things by your own? Do you have a PC and a printer at … Continue reading...

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Election tRends: An interactive US election tracker (using Shiny and Plotly)

March 29, 2016
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Guest post by Jonathan Sidi Introduction The US primaries are coming on fast with almost 120 days left until the conventions. After building a shinyapp for the Israeli Elections I decided to update features in the app tried out plotly in the shiny framework. As a casual voter trying to gauge the true temperature of … Continue reading...

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An Integrated Shiny App for a Course on Repeated Measurements Analysis (completed)

March 18, 2016
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An Integrated Shiny App for a Course on Repeated Measurements Analysis (completed)

Repeated Measurements AnalysisRepeated measurements analysis, and in particular longitudinal data analysis, is one of the two most frequently used types of analysis in my field (Biostatistics) - the other being survival analysis. Starting from this yea...

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