1706 search results for "RStudio"

One Solution to the ‘stringsAsFactors’-Problem Or: Hell-Yeah there is HELLNO

December 23, 2015
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One Solution to the ‘stringsAsFactors’-Problem Or: Hell-Yeah there is HELLNO

Base R's stringsAsFactors default setting is supposedly the most often complained about piece of code in the whole R infrastructure. A search through the source code of all CRAN packages in December 2015 (Link) resulted in 3,492 mentions of stringsAsFactors. Most of the time these explicit mentions where found within calls to data.frame() or as.data.frame() and simply set...

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Set up Sublime Text for light-weight all-in-one data science IDE

December 23, 2015
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Set up Sublime Text for light-weight all-in-one data science IDE

tl;dr Sublime Text is a powerful text editor. Here I introduce how to add custom REPL config for remote/local R, Python, Scala, Spark, Hive, you name it (this is only tested for OS X). The example below interprets local Python (top), R (middle) and Hive (bottom) code on remote. IDE for everything Good IDEs are everywhere. RStudio for R, Pycharm for...

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Shiny https: Securing Shiny Open Source with SSL

December 23, 2015
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Shiny https: Securing Shiny Open Source with SSL

As described in my Shiny overview post, there are different versions of Shiny server. Among other limitations, the open source flavor does not come with built-in support for https and user access control. In this post, we explain how you can nevertheless turn your Shiny Open Source server into a Shiny https server. This tutorial builds on The post

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ggplot 2.0.0

December 22, 2015
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I’m very pleased to announce the release of ggplot2 2.0.0. I know I promised that there wouldn’t be any more updates, but while working on the 2nd edition of the ggplot2 book, I just couldn’t stop myself from fixing some long standing problems. On the scale of ggplot2 releases, this one is huge with over

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Marathon Races Shiny App

December 19, 2015
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Marathon Races Shiny App

About a year ago I posted about men's and women's marathon (and longer) distance races from the Arrs.net dataset.  In the meantime, Shiny development and the open source announcement of plot.ly have brought data visualization to the next level.&nb...

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Buzzfeed uses R for Data Journalism

December 18, 2015
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Buzzfeed uses R for Data Journalism

Buzzfeed isn't just listicles and cat videos these days. Science journalist Peter Aldhous recently joined Buzzfeed's editorial team, after stints at Nature, Science and New Scientist magazines. He brings with him his data journalism expertise and R programming skills to tell compelling stories with data on the site. His stories, like this one on the rates of terrorism incidents...

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Securely storing your secrets in R code

December 16, 2015
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by Andrie de Vries Last month I wrote about How to store and use webservice keys and authentication details, a summary of the options mentioned in a twitter discussion started by Jennifer Bryan. All of the options in my article really stored the secrets in plain text somewhere on your system, but in such a way to minimize the...

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Big Data Insights – IT Support Log Analysis

December 16, 2015
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Big Data Insights – IT Support Log Analysis

This post brings forth to the audience, few glimpses (strictly) of insights that were obtained from a case of how predictive analytic's helped a fortune 1000 client to unlock the value in their huge log files of the IT Support system. Going to quick ba...

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R 3.2.3 is released (with improvements for Windows users, and general bug fixes)

December 14, 2015
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R 3.2.2 (codename “Wooden Christmas Tree”) was released several days ago. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Major changes in R 3.2.3 As highlighted by David Smith, this release makes a few small improvements and bug fixes to … Continue reading...

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Data Science Radar – Technologist Profile

December 14, 2015
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Data Science Radar – Technologist Profile

    by Mark Sellors, Mango Solutions @sellorm  Mark Sellors from Mango took the Data Science Radar Challenge and his dominant skill was a Technologist, so we asked him a few questions. 1.  Tell us a bit about your background … Continue reading →

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