506 search results for "shiny"

Interactive Scenarios With Shiny – The Race to the F1 2012 Drivers’ Championship

November 18, 2012
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Interactive Scenarios With Shiny – The Race to the F1 2012 Drivers’ Championship

In Paths to the F1 2012 Championship Based on How They Might Finish in the US Grand Prix I posted a quick hack to calculate the finishing positions that would determine the F1 2012 Drivers’ Championship in today’s United States Grand Prix, leaving a tease dangling around the possibility of working out what combinations would

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Comparing Shiny with gWidgetsWWW2.rapache

November 12, 2012
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(A guest post by John Verzani) A few days back the RStudio blog announced Shiny, a new product for easily creating interactive web applications (http://www.rstudio.com/shiny/). I wanted to compare this new framework to one I’ve worked on, gWidgetsWWW2.rapache – a version of …Read more »

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RStudio releases Shiny

November 12, 2012
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RStudio has released a new package for R. Shiny allows R developers to build simple interactive Web-based interfaces for R scripts, using only R code (no JavaScript development required!). You can see some examples of Shiny in action in this blog post, and there are more details about Shiny's capabilities in this tutorial. Shiny was first announced to beta...

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Unbelievable and Amazing R Shiny–Web Parameter Test in 1.5 Hours

November 9, 2012
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Unbelievable and Amazing R Shiny–Web Parameter Test in 1.5 Hours

Life keeps getting better and better.  Yesterday, I discovered the absolutely unbelievable and amazing work RStudio has done with Shiny employing one of my favorite R packages websockets.  As proof of the ease and quality, within a couple of ...

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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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Plotly Graphs with Domino’s New R Notebook

March 3, 2015
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Plotly Graphs with Domino’s New R Notebook

by Matt Sundquist co-founder of Plotly Domino's new R Notebook and Plotly's R API let you code, make interactive R and ggplot2 graphs, and collaborate entirely online. Here is the Notebook in action: Published R Notebook To execute this Notebook, or to build your own, head to Domino's Plotly Project. The GIF below shows how to get started: choose...

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scheduleR receives big update

March 2, 2015
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scheduleR receives big update

For the newcomers; scheduleR is a framework to deploy/schedule R tasks, reports and Shiny apps. The tool has an integrated logging and notification system to ease the maintenance of scheduled R related jobs. After a lot of refactoring the tasks have been separated into tasks (e.g. ETL scripts) and reports (rmarkdown). The back-end that handles the execution of R...

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Electric Power System simulations using R

March 2, 2015
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Electric Power System simulations using R

This is a guest post by Ben Ubah. The field of electric power systems engineering relies heavily on computer simulations for analysis because of its nature. These computer simulations aid the planning, operation and management of the system. Computer simulations have been implemented using several scientific computing tools. However, I have not yet seen any implementations using R. This inspired my...

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R Markdown Tutorial by RStudio and DataCamp

March 1, 2015
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R Markdown Tutorial by RStudio and DataCamp

In collaboration with Garrett Grolemund, RStudio’s teaching specialist, DataCamp has developed a new interactive course to facilitate reproducible reporting of your R analyses. R Markdown enables you to generate reports straight from your R code, documenting your works as an HTML, pdf or Microsoft document. This course is part of DataCamp’s R training path, but can The post

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