1918 search results for "RStudio"

Interactive visualizations with R – a minireview

January 9, 2015
By
2015-01-10 00_34_37-Clipboard

Interactive visualization allows deeper exploration of data than static plots. Javascript libraries such as d3 have made possible wonderful new ways to show data. Luckily the R community has been active in developing R interfaces to some popular javascript libraries to enable R users to create interactive visualizations without knowing any javascript. In this post I have reviewed...

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Front-end for ggplot2

January 9, 2015
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Front-end for ggplot2

ggplot2 is a very powerful R package for data visualization, but mastering it is like learning another language in addition to R. Wouldn’t it be nice if there’s a simple GUI to ggplot2? That’s one major motivation behind the R package shinyData. Leveraging the power of shiny (which is another R package), majority of the … Continue reading...

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New R Package: metricsgraphics

January 8, 2015
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2015-01-09 20_12_42-Clipboard

Mozilla released the MetricsGraphics.js library back in November of 2014 (gh repo) and was greeted with great fanfare. It’s primary focus is on crisp, clean layouts for interactive time-series data, but they have support for other chart types as well (though said support is far from comprehensive). I had been pondering building an R package

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Top 77 R posts for 2014 (+R jobs)

January 7, 2015
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Top 77 R posts for 2014 (+R jobs)

R-bloggers.com is 5 years old this month! In celebration, this post share links to the top 77 most read R posts of 2014 (+stats on R-bloggers, + top R jobs for the beginning of 2015)

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Run scoring trends: using Shiny to create dynamic charts and tables in R

January 7, 2015
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Or, Retracing my stepsAs I’ve been learning the functionality of Shiny, the web app for R, I have used the helpful tutorials available from the developers at RStudio. At some point, though, one needs to break out and develop one’s own application.  My Shiny app “MLB run scoring trends” can be found at (

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Announcing shinyapps.io beta

January 6, 2015
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Announcing shinyapps.io beta

RStudio is happy to announce the availability of the shinyapps.io beta. Shinyapps.io is an easy to use, secure, and scalable hosted service already being used by thousands of professionals and students to deploy Shiny applications on the web. Today we are releasing a significant upgrade as we transition from alpha to beta, the final step

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Talk to R

January 5, 2015
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Talk to R

Here's a neat demo from Yihui Xie: you can talk to this R graph and customize it with voice commands. You'll need to click through the link to start the demo in a new window, and you'll need to be using Chrome and allow access to your microphone. (If you can't get it to work on your system, here's...

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Book Extras – Data Files, Code Files and a Dockerised Application

January 5, 2015
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Book Extras – Data Files, Code Files and a Dockerised Application

Idling through the LeanPub documentation last night, I noticed that they support the ability to sell digital extras, such as bundled code files or datafiles. Along with the base book sold at one price, additional extras can be bundled into packages alongside the original book and sold at another (higher) price. As with the book

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An experience of EARL

January 2, 2015
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An experience of EARL

Coordinates: 2014 September 15-17 in the London borough of #rstats. 15th, evening I had just the right number of R bugs so that I could walk to the drinks and arrive fashionably late.  On the way, I realized that I hadn’t been near the Tower of London since the first year I moved to London even The post

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Plot with ggplot2 and plotly within knitr reports

December 30, 2014
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Plot with ggplot2 and plotly within knitr reports

Plotly is a platform for making, editing, and sharing graphs. If you are used to making plots with ggplot2, you can call ggplotly() to make your plots interactive, web-based, and collaborative. For example, see plot.ly/~marianne2/166, shown below. Notice the hover text! The “plotly” R package lets you use plotly with R. Want to...

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