968 search results for "shiny"

Installing RStudio Shiny Server on AWS

December 1, 2015
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Installing RStudio Shiny Server on AWS

In this beginner’s level tutorial, you’ll learn how to install Shiny Server on an AWS cloud instance, and how to configure the firewall. It will take just a few minutes! Why? Playing around with Shiny is simple enough: all you need is is the R package called shiny, which you can get directly from CRAN. Making your The post

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Sixer – R package cricketr’s new Shiny avatar

November 29, 2015
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Sixer – R package cricketr’s new Shiny avatar

In this post I create a Shiny App, Sixer, based on my R package cricketr. I had developed the R package cricketr, a few months back for analyzing the performances of batsman and bowlers in all formats of the game (Test, ODI and Twenty 20). This package uses the statistics info available in ESPN Cricinfo

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Setting up an AWS instance for R, RStudio, OpenCPU, or Shiny Server

November 23, 2015
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Setting up an AWS instance for R, RStudio, OpenCPU, or Shiny Server

While most web-developers have worked with Amazon AWS, Microsoft Azure, or similar platforms before, this is still not the case for many R number crunchers. Especially researchers at academic institutions have less exposure to these commercial offerings. Time to change that! In this post, we explain how to set up an Ubuntu server instance on AWS, The post

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Using Apache SparkR to Power Shiny Applications: Part I

November 22, 2015
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Using Apache SparkR to Power Shiny Applications: Part I

Introduction The objective of this blog post is demonstrate how to use Apache SparkR to power Shiny applications. I have been curious about what the use cases for a “Shiny-SparkR” application would be and how to develop and deploy such an app. SparkR is an R package that provides a light-weight frontend to use Apache…

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PubMed search Shiny App using RISmed

November 17, 2015
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PubMed search Shiny App using RISmed

In part one of a series of tutorials, we will develop a Shiny App for performing analysis of academic text from PubMed. There’s no shortage of great tutorials for developing a Shiny App using R, including Shiny’s own tutorial. Here at datascience+ we have a perfect introduction by Teja Kodali and a more in-depth development

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Shiny Developer Conference | Stanford University | January 2016

October 29, 2015
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Shiny Developer Conference | Stanford University | January 2016

In the three years since we launched Shiny, our focus has been on helping people get started with Shiny. But there’s a huge difference between using Shiny and using it well, and we want to start getting serious about helping people use Shiny most effectively. It’s the difference between having apps that merely work, and

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Free Webinar: Make a Census Explorer with Shiny

October 22, 2015
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Free Webinar: Make a Census Explorer with Shiny

Next Friday at noon PDT I will be hosting a free webinar titled Make a Census Explorer with Shiny. You can register for it here. Space is limited, so if you are interested then I recommend that you reserve your space today. The content will be very similar to the workshop that I ran at the San The post

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Shiny

October 22, 2015
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No code for once. This is an independent, introductory article about RStudio’s Shiny web application framework for R. This could be useful for people who don’t know what Shiny is. Or for those of you who want to find out when to use Shiny.  What does Shiny do? Shiny is a fine product. It allows you The post

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Paging Widget for Shiny Apps

October 21, 2015
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Paging Widget for Shiny Apps

In my last post I described how I built a shiny application called “DFaceR” that used Chernoff Faces to plot multidimensional data. To improve application response time during plotting, I needed to split large datasets into more manageable “pages” to be plotted. Rather than take the path of least resistance and use either numericInput or sliderInput...

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trimming CTD files with shiny

October 17, 2015
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trimming CTD files with shiny

Introduction The shiny library provides a graphical user interface (GUI) for the R language that may open up new possibilities for human judgement in data filtering, as well as for the use of R by those who choose not to learn its syntax. The first category is the intended audience here, in this first of a series of blog postings about using shiny...

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