1063 search results for "rstudio"

Not only CRAN downloads and Shiny … but also .. rCharts

June 21, 2013
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Not only CRAN downloads and Shiny … but also .. rCharts

I have been meaning for some time to get stuck into the rCharts package which provides an interface to many Javascript graphic libraries. These offer rich charting capabilities with interactivity and a great deal of customization. As regular readers will know, I am also interested in improved publicity for CRAN packages, although the Shiny app

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Disposable Visual Data Explorers with Shiny – Guardian University Tables 2014

June 21, 2013
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Disposable Visual Data Explorers with Shiny – Guardian University Tables 2014

Have data – now what? Building your own interactive data explorer need not be a chore with the R shiny library… Here’s a quick walkthrough… In Datagrabbing Commonly Formatted Sheets from a Google Spreadsheet – Guardian 2014 University Guide Data, I showed how to grab some data from several dozen commonly formatted sheets in a

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Huge interest in next LondonR user group meeting

June 20, 2013
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The next LondonR meeting takes place on the 16 July and registrations have already exceeded 200. Presentations at the meeting will be made by Rich Pugh of Mango Solutions, Andrie de Vries of Revolution Analytics and Hadley Wickham of RStudio. All places for a  pre-meeting workshop with Hadley Wickham were snapped up within 2 days of announcing the details. More information...

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Installing the RGoogleAnalytics package

June 20, 2013
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Installing the RGoogleAnalytics package

In this blog post, I would walk you through the steps from downloading to installing the RGoogleAnalytics package on your machine. The RGoogleAnalytics package currently resides at https://code.google.com/p/r-google-analytics/ and this page lists the latest developments around the package. The zip and tarball archives for the package can be obtained from the Downloads Section. Once you download the

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Dallas R Users: Creating R Packages this Saturday, 6/29

June 18, 2013
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I’ll be presenting at the Dallas R Users Group next Saturday at 10:00AM at the University of Dallas on how to reproduce your R code. We’ll review how to use R scripts, how to embed R code in reproducible documents, and then introduce how to create your own R packages based on your R code.

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Visualising Crime Hotspots in England and Wales using {ggmap}

June 18, 2013
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Visualising Crime Hotspots in England and Wales using {ggmap}

Two weeks ago, I was looking for ways to make pretty maps for my own research project. A quick search led me to some very informative blog posts by Kim Gilbert, David Smith and Max Marchi. Eventually, I Google'd the excellent crime weather map exa...

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My R package’s worldmap of downloads!

June 18, 2013
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My R package’s worldmap of downloads!

Last week, a colleague draw my attention on this new log files from the Rstudio cloud CRAN mirror, through a post from Tal Galili. This CRAN mirror is a little different, as it uses Amazon CloudFront to deliver the downloads … Continue reading →

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Resources for getting started with R

June 18, 2013
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Resources for getting started with R

As we believe you may know, we are having a webinar tomorrow (June 19th, 2013) on Predictive Analytics. During this webinar, you are going to be introduced to R, learn how to build a predictive model and also how to carry insightful analysis through visualization. As learning a new language can be a really difficult

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Computerworld’s Beginners Guide to R

June 17, 2013
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Sharon Machlis is not only the online managing editor at Computerworld, she's also a budding data scientist who recently started learning the R language. To the benefit of all other new R users, she's shared her learnings in an excellent 6-part beginners guide to R, published by Computerworld. It's jam-packed with useful information for anyone getting started with R,...

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Dynamic Data Visualizations in the Browser Using Shiny

June 16, 2013
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Dynamic Data Visualizations in the Browser Using Shiny

After being busy the last two weeks teaching and attending academic conferences, I finally found some time to do what I love, program data visualizations using R. After being interested in Shiny for a while, I finally decided to pull the trigger and build my first Shiny app! I wanted to make a proof of

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