1039 search results for "Shiny"

Monte Carlo Analysis of Manning’s Equation: A Shiny App

July 20, 2016
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Monte Carlo Analysis of Manning’s Equation:  A Shiny App

Monte Carlo analysis is a great way to explore the impact of input variable uncertainty on the results of engineering equations, and with vector variables and distribution and sampling functions at its core, R is a natural platform for this analysis. During a recent rainy vacation, I built a Shiny app that applies...

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A Shiny app to help interpret GW-Degree estimates in ERGMs

June 26, 2016
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A Shiny app to help interpret GW-Degree estimates in ERGMs

Most researchers are misinterpreting geometrically weighted degree (GWD) estimates in exponential random graph models (ERGMs) of networks. By a 3:1 ratio papers cite positive estimates of GWD as indicative of a popularity or centralization force; in fact, positive estimates indicate dispersion of edges. Shiny app Here is a Shiny app that allows you to examine the effects of GWD parameter...

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Shiny + archivist = reproducible interactive exploration

June 26, 2016
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Shiny + archivist = reproducible interactive exploration

Shiny is a great tool for interactive exploration (and not only for that). But, due to its architecture, all objects/results that are generated are stored in a separate R process so you cannot access them easily from your R console. In some cases you may wish to retrieve a model or a plot that you … Czytaj dalej...

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R/Shiny for clinical trials: simple randomization tables

June 9, 2016
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R/Shiny for clinical trials: simple randomization tables

One of the things I most like from R + Shiny is that it enables me to serve the power and flexibility of R in small “chunks” to cover different needs, allowing people not used to R to benefit from it. However, what I … Sigue leyendo →

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Covcalc: Shiny App for Calculating Coverage Depth or Read Counts for Sequencing Experiments

June 1, 2016
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Covcalc: Shiny App for Calculating Coverage Depth or Read Counts for Sequencing Experiments

How many reads do I need? What's my sequencing depth? These are common questions I get all the time. Calculating how much sequence data you need to hit a target depth of coverage, or the inverse, what's the coverage depth given a set amount of sequenci...

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Stop Shiny and Close Browser Together

May 26, 2016
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Stop Shiny and Close Browser Together

I’ve been playing with shiny at work for a project Tyler and I have been pushing forward. My Goal We wanted to be able to deploy local instances of shiny app and then when user is done with session, the user can close out the session by closing the browser and shutting down shiny server at same time. StackOverflow...

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Shiny Apps Gallery using Plotly in R

May 7, 2016
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Shiny Apps Gallery using Plotly in R

Announcing the new shiny apps gallery that showcases the use of Plotly’s R API in Shiny Applications. You can visit the gallery here: https://plot.ly/r/shiny-gallery/ Apps showcase the use of a variety of plotly features including: Adding interactive plotly graphs using plotlyOutput() Embedding ggplot style visualizations using ggplotly() Accessing click, hover and zoom events using event_data()

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ShinyDevCon videos now available

May 6, 2016
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2016-05-06 21_55_31-Clipboard

This past January, we held the first ever Shiny Developer Conference. It was a chance to gather together a group of intermediate to advanced Shiny users, and take their skills to the next level. It was an exciting event for me in particular, as I’ve been dying to share some of these intermediate and advanced

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Shiny JavaScript Tutorials

May 6, 2016
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Shiny JavaScript Tutorials

We are happy to announce a new series of tutorials that will take your Shiny apps to the next level. In the tutorials, Herman Sontrop and Erwin Schuijtvlot of FRISS will teach you how to create custom JavaScript widgets and embed them into your Shiny apps. The JavaScript language is a powerful tool when combined

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Image Recognition and Object Detection with R/Shiny and Google Vision

May 1, 2016
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Image Recognition and Object Detection with R/Shiny and Google Vision

Image recognition and object detection has been around for some years. However, usage and adoption was limited due to quality and ease of development. With the release of Microsoft’s Project Oxford, and Google’s Vision API, the accessibility and applicability has massively improved. Both APIs use REST API access and provide an excellent opportunity for the average developer...

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