369 search results for "shiny"

What’s in my Pocket? (Part II) – Analysis of Pocket App Article Tagging

November 10, 2013
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What’s in my Pocket? (Part II) – Analysis of Pocket App Article Tagging

IntroductionYou know what's still awesome? Pocket.As I noted in an earlier post (oh god, was that really more than a year ago?!) I started using the Pocket application, previously known as Read It Later, in July of 2011 and it has changed my readi...

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R Studio, and Presentations, and Git! Oh my!

November 7, 2013
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R Studio, and Presentations, and Git! Oh my!

I have been using R for many years now and it has served me quite well.  I have used it for all manners of data prep work, analysis, developing figures, and more recently GIS and creating reproducible reports with knitr.  During this time my typical workflow included creating new folders for projects, throwing in an

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Local Council Spending Data – Time Series Charts

November 6, 2013
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Local Council Spending Data – Time Series Charts

In What Role, If Any, Does Spending Data Have to Play in Local Council Budget Consultations? I started wondering about the extent to which local spending transparency data might play a role in supporting consultation around new budgets. As a first pass, I’ve popped up a quick application up at http://glimmer.rstudio.com/psychemedia/iwspend2013_14/ (shiny code here). You

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Display googleVis charts within RStudio

November 5, 2013
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Display googleVis charts within RStudio

The preview version 0.98.441 of RStudio introduced a new viewer pane to render local web content and with that it allows me to display googleVis charts within RStudio rather than in a separate browser window. I think this is a rather nice feature and...

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Generating d3js Motion Charts from rCharts

November 4, 2013
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Generating d3js Motion Charts from rCharts

Remember Gapminder, the animated motion chart popularised by Hans Rosling in his TED Talks and Joy of Stats TV programme? Well it’s back on TV this week in Don’t Panic – The Truth About Population, a compelling piece of OU/BBC co-produced stats theatre featuring Hans Rosling, and a Pepper’s Ghost illusion brought into the digital

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Version 1.1 of the likert Package Released to CRAN

October 18, 2013
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Version 1.1 of the likert Package Released to CRAN

After some delay, we are happy to finally get version 1.1 of the likert package on CRAN. Although labeled 1.1, this is actually the first version of the package released to CRAN. After receiving some wonderful feedback from useR! this year, we held back releasing until we implemented many of the feature suggestions. The NEWS file...

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New JerseyR User Group Meeting – 22nd October 2013, Iselin NJ

October 2, 2013
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We are pleased to announce details of the next New Jersey R meeting; this is a free event open to anyone using or interested in using R. Venue:  Hilton Woodbridge, 120 Wood Avenue South, Iselin, NJ 08830 Time:     6.30 pm – 10pm Presentations (from 7pm) • Using knitr to create reports -  Adam Rich, Beazley Group • Using R...

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RStudio v0.98 Preview (Debugging Tools and More)

September 24, 2013
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RStudio v0.98 Preview (Debugging Tools and More)

We’re very pleased to announce that a preview release of RStudio IDE v0.98 is available for download now. Major highlights of the new release include debugging tools, many improvements to environment/workspace browsing, and a new way to create HTML5 presentations using R Markdown. As usual there are also many small improvements and bug fixes. We’ll

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“Interactive Graphics with R” Course – Kassel, Germany, October 24

September 19, 2013
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Interactive graphics are a flexible and efficient way to analyze data and to present analysis results. Interactive graphic applications offer queries, selections, highlighting or the modification of graphic parameters. In the environment of R, there are various concepts that make the creation of interactive graphics and applications possible directly out of R (IPlots, googlevis, shiny

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The Problem with Percentiles

September 8, 2013
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The Problem with Percentiles

The Problem with Percentiles Percentiles (or, more accurately, quantiles) are deeply embedded in the psyche of actuaries, statisticians and similar beasts. They are referred to implicitly in the Solvency 2 directive (Article 100, Value at Risk) without explanation. They are so ingrained...

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