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Shiny 0.13.0
By winstonchang Shiny 0.13.0 is now available on CRAN! This release has some of the most exciting features we’ve shipped since the first version of Shiny. Highlights include: Shiny Gadgets HTML...
View ArticleWin-Vector data science mailing list (and a give-away!)
By John Mount Win-Vector LLC is starting a data science mailing list that we would like you to sign up for. It is going to be a (deliberately infrequent) set of updates including Win-Vector LLC...
View ArticleWin-Vector data science mailing list (and a give-away!)
By John Mount Win-Vector LLC is starting a data science mailing list that we would like you to sign up for. It is going to be a (deliberately infrequent) set of updates including Win-Vector LLC...
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Prepping Data for Analysis using R
By John Mount Nina and I are proud to share our lecture: “Prepping Data for Analysis using R” from ODSC West 2015. [embedded content] Nina Zumel and John Mount ODSC WEST 2015 It is about 90 minutes,...
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Prepping Data for Analysis using R
By John Mount Nina and I are proud to share our lecture: “Prepping Data for Analysis using R” from ODSC West 2015. Nina Zumel and John Mount ODSC WEST 2015 It is about 90 minutes, and covers a lot of...
View ArticleMicrosoft R Open 3.2.3 now available
By David Smith Microsoft R Open 3.2.3, the performance-enhanced distribution of R 3.2.3, is now available for download from mran.microsoft.com. This is the latest (and first of many to come!) update to...
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Heston model for Options pricing with ESGtoolkit
By Thierry Moudiki’s blog Hi everyone! Best wishes for 2016! In this post, I’ll show you how to use ESGtoolkit, for the simulation of Heston stochastic volatility model for stock prices. This is...
View ArticleUpcoming Microsoft R Webinars
By David Smith A quick heads-up that I’ll be presenting a live webinar on Thursday January 28, Introduction to Microsoft R Open. If you know anyone that should get to know R and/or Microsoft R Open,...
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Big data in ranching and animal husbandry
By Brian Lee Yung Rowe Another big part of the food supply comes from ranches and farms that raise and slaughter various livestock. While ranching is sometimes bundled with agriculture, I discussed...
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Jim Albert’s Baseball Blog
By Bob Carpenter Jim Albert has a baseball blog: I sent a link internally to people I knew were into baseball, to which Andrew replied, “I agree that it’s cool that he doesn’t just talk, he has code.”...
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Microsoft R Open 3.2.3 now available
By David Smith Microsoft R Open 3.2.3, the performance-enhanced distribution of R 3.2.3, is now available for download from mran.microsoft.com. This is the latest (and first of many to come!) update to...
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Kéry and Schaub’s Bayesian Population Analysis Translated to Stan
By Bob Carpenter Hiroki ITÔ (pictured) has done everyone a service in translating to Stan the example models from You can find the code in our example-models repository on GitHub: This greatly expands...
View ArticleUpcoming Microsoft R Webinars
By David Smith A quick heads-up that I’ll be presenting a live webinar on Thursday January 28, Introduction to Microsoft R Open. If you know anyone that should get to know R and/or Microsoft R Open,...
View ArticleLearn R From Scratch – Part 3
By Selva Prabhakaran In the previous tutorial, of the “Learn R From Scratch” series, we learn very important concepts such as lists, dataframes and how to import and export data from R. This time, we...
View ArticleBecause it’s Friday: Stand on the left … and on the right
By David Smith If you’ve ever taken the Tube in London (or indeed the subway in any big city) during rush hour, you’ll probably have found yourself in a swarm of people at the base of a long escalator....
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Running R jobs quickly on many machines
By John Mount As we demonstrated in “A gentle introduction to parallel computing in R” one of the great things about R is how easy it is to take advantage of parallel processing capabilities to speed...
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Running R jobs quickly on many machines
By John Mount Colossus supercomputer : The Forbin Project R itself is not a language designed for parallel computing. It doesn’t have a lot of great user exposed parallel constructs. What saves us is...
View ArticleGetting Started with Markov Chains: Part 2
By Joseph Rickert by Joseph Rickert In a previous post, I showed some elementary properties of discrete time Markov Chains could be calculated, mostly with functions from the markovchain package. In...
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Getting Started with Markov Chains: Part 2
By Joseph Rickert by Joseph Rickert In a previous post, I showed some elementary properties of discrete time Markov Chains could be calculated, mostly with functions from the markovchain package. In...
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Kaggle: Santa’s Stolen Sleigh
By Andrew Collier This morning I read Wendy Kan’s interesting post on Creating Santa’s Stolen Sleigh. I hadn’t really thought too much about the process of constructing an optimisation competition, but...
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