476 search results for "Shiny"

Graphical Tools (rgl) on a Headless Shiny Server

February 27, 2013
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If you’ve encountered errors such as Warning in rgl.init(initValue) : RGL: unable to open X11 display Warning in fun(libname, pkgname) : error in rgl_init or Error: rgl_dev_getcurrent when trying to use a graphically based package like RGL with Shiny Server, then you’re in the right spot.  The issue is likely that you’re running R or

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First steps of using googleVis on shiny

February 26, 2013
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First steps of using googleVis on shiny

The guys at RStudio have done a fantastic job with shiny. It is really easy to build web apps with R using shiny. With the help of Joe Cheng from RStudio we figured out a way to make googleVis work on shiny as well. This allows you to make use of the Google Charts...

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Shiny 0.4.0 now available

February 22, 2013
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Shiny 0.4.0 now available

Shiny version 0.4.0 is now available on CRAN. The most visible change is that the API has been slightly simplified. Your existing code will continue to work, although Shiny will print messages about how to migrate your code. Migration should be straightforward, as described below. It will take a bit of work to switch to

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plot textual differences in Shiny

February 21, 2013
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plot textual differences in Shiny

Wordclouds such as Wordle are pretty rubbish, so I thought I'd try to make a better one, one that actually produces (statistically) meaningful results. I was so happy with the outcome I decided to make it interactive, so go on, have a play!Compare any...

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Sector Rotation Back Test Shiny web application

February 18, 2013
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Sector Rotation Back Test Shiny web application

Today, I want to share the Sector Rotation Back Test application (code at GitHub). This is the last application in the series of examples (I have shared 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports. The motivation for this series of

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Market Filter Back Test Shiny web application

February 15, 2013
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Market Filter Back Test Shiny web application

Today, I want to share the Market Filter Back Test application (code at GitHub). This is the forth application in the series of examples (I plan to share 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports. The motivation for this series

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January Seasonality Shiny web application

February 14, 2013
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January Seasonality Shiny web application

Today, I want to share the January Seasonality application (code at GitHub). This example is based on the An Example of Seasonality Analysis post. This is the third application in the series of examples (I plan to share 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make

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Multiple Stocks Plot Shiny web application

February 13, 2013
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Multiple Stocks Plot Shiny web application

Today, I want to share the Multiple Stocks Plot application (code at GitHub). This is the second application in the series of examples (I plan to share 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports. The motivation for this series of

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A Shiny example – SAP HANA, R and Shiny

February 13, 2013
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A Shiny example – SAP HANA, R and Shiny

As you may already know...I love R...a fancy, open source statistics programming language. So today, I decided to learn something new using R.There aren't much Web Servers for R, but there's one that I really like called Rook, that I covered on my blog...

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Single Stock Plot Shiny web application

February 12, 2013
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Single Stock Plot Shiny web application

Today, I want to share the Single Stock Plot application (code at GitHub). This is the first application in the series of examples (I plan to share 5 examples) that will demonstrate the amazing Shiny framework and Systematic Investor Toolbox to analyze stocks, make back-tests, and create summary reports. The motivation for this series of

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