Blog Archives

R tops 2015 KDnuggets Software Poll

May 27, 2015
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R tops 2015 KDnuggets Software Poll

R is the leading choice for Predictive Analytics / Data Mining / Data Science software according to the results of the 2015 KDnuggets Software Poll, now in its 16th year. Each of the 28,000 participants selected one or more tools they had used in the last year from a list of 93 options, and R was selected by 46.9%...

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Open data sets you can use with R

May 25, 2015
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R is an environment for programming with data, so unless you're doing a simulation study you'll need some data to work with. If you don't have data of your own, we've made a list of open data sets you can use with R to accompany the latest release of Revolution R Open. At the Data Sources on the Web...

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Revolution R Open 3.2.0 now available for download

May 22, 2015
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The latest update to Revolution R Open, RRO 3.2.0, is now available for download from MRAN. In addition to new features, this release tracks the version number of the underlying R engine version (so this is the release following RRO 8.0.3). Revolution R Open 3.2.0 includes: The latest R engine, R 3.2.0. This includes many improvements, including faster processing,...

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Open soure software has changed the way we do business

May 20, 2015
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Earlier this month TechCrunch published an article of mine, "The Business Economics And Opportunity Of Open-Source Data Science". With this article I wanted to share how open-source software has disrupted the economics of doing business, now that data is a fundamental component of every businesses' operations. Open source projects like Hadoop and R, coupled with commodity hardware, have fundamentally...

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Because it’s Friday: Love in the land of Facebook

May 15, 2015
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Because it’s Friday: Love in the land of Facebook

Today is my 11th wedding anniversary with my wonderful husband Jay, so it's a love-themed Friday post today. Jay and I met before Facebook was a thing, but we've been touched by the congratulations on our timelines today. Those timeline posts reveal a lot about you and your relationships, and last year the Facebook data science team published a...

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In-database R coming to SQL Server 2016

May 15, 2015
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R is coming to SQL Server. SQL Server 2016 (which will be in public preview this summer) will include new real-time analytics, automatic data encryption, and the ability to run R within the database itself: For deeper insights into data, SQL Server 2016 expands its scope beyond transaction processing, data warehousing and business intelligence to deliver advanced analytics as...

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Computerworld’s list of R packages for data wrangling

May 13, 2015
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Computerworld's Sharon Machlis published today a very useful list of R packages that every R user should know. The list covers packages for data import, data wrangling, data visualization and package development, but for beginning R users the biggest challenge is usually just dealing with data. To that end, I thought it was worth listing the package for data...

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What data science software tools do you use?

May 11, 2015
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KDnuggets is once again running its annual poll of data science software tools, now in its 16th year. If you'd like to participate, visit the KDnuggets poll page and answer the question, "What Predictive Analytics, Data Mining, Data Science software/tools you used in the past 12 months?". The poll allows you to select up to 20 tools from the...

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In case you missed it: April 2015 roundup

May 8, 2015
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In case you missed them, here are some articles from April of particular interest to R users. Joseph Rickert reviews the inaugural New York City R User Conference, featuring Andrew Gelman. Engineer Vineet Abraham compares performance benchmarks for R and Revolution R Open on OS X and Ubuntu. R was featured in the keynotes for the BUILD developer’s conference....

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Comparing data frames, data.table and dplyr with random walks

May 6, 2015
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Comparing data frames, data.table and dplyr with random walks

Arthur Charpentier was trying to solve an interesting problem with R: given this data set of random walks in the 2-D plane, what is the likely origin of a pathway that ends in the black circle below? It's pretty easy to generate random data like this with a few lines of code in R. And with 2 million trajectories...

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