985 search results for "rstudio"

Ace Code Editor in Shiny (shinyAce)

November 5, 2013
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The Ace code editor is an elegant, full-featured, browser-based code editor used in such products as RStudio’s IDE. We’re announcing a new R package called shinyAce (now available on CRAN) which integrates the Ace editor into the Shiny web framework. For those who may be unfamiliar, Shiny is an R package which makes it trivial to create interactive web

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RSiteCatalyst Version 1.2 Release Notes

November 5, 2013
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RSiteCatalyst Version 1.2 Release Notes

Version 1.2 of the RSiteCatalyst package to access the Adobe Analytics API is now available on CRAN! Changes include: Removed RCurl package dependency Changed argument order for GetAdminConsoleLog to avoid error when date not passed Return proper numeric type for metric columns Fixed bug in GetEVars function Added validate:true flag to API to improve error reporting Removed remaining RSiteCatalyst Version 1.2...

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NYC R Programming Classes – starting this coming Sunday

November 5, 2013
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NYC R Programming Classes – starting this coming Sunday

Guest post by Vivian Zhang, original post. You can sign up for our Sunday Intensive beginner level R classes at NYC Data Science Academy meetup page or email [email protected] for more info. Brief: The course (which will meet five Sundays) will start from the basics, introducing the building blocks used for programming in R and building intuition for writing clean and robust code....

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What Hadley Wickham uses

October 30, 2013
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You know Hadley Wickham as the inventor of the ggplot2 visualization phenomenon, the creator of time-saving R packages like plyr and lubridate, and the Chief Scientist at RStudio. But do you know what laptop Hadley uses, what software he uses (besides, R, of course), or his favourite kitchen appliance? Find out Hadley's interview with The Setup. (Also check out...

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R and my divorce from Word

October 30, 2013
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R and my divorce from Word

Being in grad school, I do a lot of scholarly writing that requires associated or embedded R analyses, figures, and tables, plus bibliographies. Microsoft Word makes this unnecessarily difficult. Many tools are now available to break free from the tyranny of Word. The ones I like involve writing an article in markdown format, integrating all data preparation,...

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Warning: Mac OS 10.9 Mavericks and R Don’t Play Nicely

October 27, 2013
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For some reason I was compelled to update my Mac’s OS and R on the same day. (I know…) It didn’t go well on several accounts and I mostly blame Apple. Here are the details. I updated R to version … Continue reading →

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ipython notebook for R: Quickstart for Ubuntu

October 27, 2013
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If you’re like me, you love ipython notebook but often write R.  RStudio’s integrated RMarkdown is nice, but for some contexts like quick demos or basic training, a browser-based interface is unbeatable.  What if we could get the best of… Read more ›

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Alternative to Grouped Bar Charts in R

October 27, 2013
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Alternative to Grouped Bar Charts in R

The #spiffy @dseverski gave me this posit the other day: Hey, @hrbrmstr, doughnut chart aside, how would you approach the first graph at http://t.co/zjHoHRVOeo? Bump chart? Trend line? Leave as is?— David F. Severski (@dseverski) October 25, 2013 and, I...

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School’s out: Building Interactive R Apps with shiny, googleVis in our R Academy

October 24, 2013
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School’s out: Building Interactive R Apps with shiny, googleVis in our R Academy

In our R Academy course “Interactive Datavisualization with R” participants learned today how to build interactive graphics in R using the shiny and the googleVis package. Rstudios shiny package is a great way to build an Application for interactive visualizations out of R. For our example App we recreated Hans Rosslings (Gapminder) Visualization which puts

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My experience of learning R – from basic graphs to performance tuning

October 23, 2013
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My experience of learning R – from basic graphs to performance tuning

BackgroundR as some of you may know is a statistical and graphics programming language (see Wikipedia ) used by academia and recently by IT professionals of our ever growing software industry. There is a sudden demand for Data Scientists, Data Analysts and Statisticians with a background in R among other things data and development related subjects. I have...

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