1362 search results for "RSTUDIO"

Di Cook is moving to Monash

December 23, 2014
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Di Cook is moving to Monash

I’m delighted that Professor Dianne Cook will be joining Monash University in July 2015 as a Professor of Business Analytics. Di is an Australian who has worked in the US for the past 25 years, mostly at Iowa State University. She is moving back to Australia and joining the Department of Econometrics and Business Statistics in the

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Interactive JavaScript in R with V8: a crossfilter example

December 23, 2014
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Interactive JavaScript in R with V8: a crossfilter example

In last weeks blog post introducing the new V8 package I showed how you can use context$eval and context$source to execute commands and scripts of JavaScript in R. It turns out that typing context$eval() for each JavaScript command gets annoying very quickly, so the new V8 version 0.3 adds an interactive console...

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Hadley Wickham Master R Developer Workshop – Space Limited

December 23, 2014
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Hadley Wickham Master R Developer Workshop – Space Limited

Give yourself the gift of “mastering” R to start 2015! Join RStudio Chief Data Scientist Hadley Wickham at the Westin San Francisco on January 19 and 20 for this rare opportunity to learn from one of the R community’s most popular and innovative authors and package developers. As of this post, the workshop is two-thirds

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Can R and ggvis help solve Serial’s murder?

December 22, 2014
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Can R and ggvis help solve Serial’s murder?

Like much of America, I followed season one of Sarah Koenig’s true-crime podcast Serial with an interest that bordered on obsession. Serial tells the story of the Baltimore 1999 murder of high-schooler Hae Min Lee, and of state prisoner Adnan Syed, who was convicted of the crime but to this day maintains his innocence. One especially gripping episode...

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A list of awesome statistics resources in 2014

December 19, 2014
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Johns Hopkins Biostatistics Professor (and presenter of Data Analysis at Coursera) Jeff Leek has published his list of awesome things other people did in 2014. It's well worth following the links in his 38 entries, where you'll find a wealth of useful resources in teaching, statistics, data science, and data visualization. Many of the entries are related to R,...

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Rocker is now the official R image for Docker

December 19, 2014
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Rocker is now the official R image for Docker

Something happened a little while ago which we did not have time to commensurate properly. Our Rocker image for R is now the official R image for Docker itself. So getting R (via Docker) is now as simple as saying docker pull r-base. This particular...

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The Geometry of Classifiers

December 18, 2014
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The Geometry of Classifiers

As John mentioned in his last post, we have been quite interested in the recent study by Fernandez-Delgado, et.al., “Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?” (the “DWN study” for short), which evaluated 179 popular implementations of common classification algorithms over 120 or so data sets, mostly from the UCI … Continue reading...

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htmlwidgets: JavaScript data visualization for R

December 18, 2014
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htmlwidgets: JavaScript data visualization for R

Today we’re excited to announce htmlwidgets, a new framework that brings the best of JavaScript data visualization libraries to R. There are already several packages that take advantage of the framework (leaflet, dygraphs, networkD3, DataTables, and rthreejs) with hopefully many more to come. An htmlwidget works just like an R plot except it produces an interactive web

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Producing student/teacher versions from a single Sweave file

December 16, 2014
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Producing student/teacher versions from a single Sweave file

This tutorial describes how to integrate computable R code (and outputs) in a LaTeX documents in a such a way that a single file can generate two (or more) PDF files. This trick is particularly useful for creating worksheets for R courses. A very small introduction to integrating R code in LaTeX files R code

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A short post: A Shiny Application for Visualizing Colors in R

December 16, 2014
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A short post: A Shiny Application for Visualizing Colors in R

Choosing the right colors for graphics is vital for good data visualization. There are 657 colors defined in R using color names. The names of these colors can be obtained using the R command: Some examples of color names in R include exotic sounding ones such as ‘steelblue1′, ‘thistle’, ‘mintcream’ and so on! But how

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