Blog Archives

Win-Vector video courses: price/status changes

March 2, 2016
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Win-Vector LLC has been offering a couple of online video courses on the topics of data science and A/B testing (both using R). These are high quality courses and well worth the money and time needed to work through them closely (with all materials distributed on GitHub). Our current distributor is Udemy, which has just … Continue reading...

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More Shiny user showcase demonstrations

February 24, 2016
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More Shiny user showcase demonstrations

We at Win-Vector LLC are very proud to announce that RStudio just inducted two more of our demonstration Shiny applications into their Shiny User Showcase gallery. Checkout the gallery to see our demonstrations of: Finding the k in k-means A/B test interactive design and analysis tool The geometry of classifiers RStudio (the authors of Shiny) … Continue reading...

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Databases in containers

February 8, 2016
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Databases in containers

A great number of readers reacted very positively to Nina Zumel‘s article Using PostgreSQL in R: A quick how-to. Part of the reason is she described an incredibly powerful data science pattern: using a formerly expensive permanent system infrastructure as a simple transient tool. In her case the tools were the data manipulation grammars SQL … Continue reading...

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Free video course: applied Bayesian A/B testing in R

February 4, 2016
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Free  video course: applied Bayesian A/B testing in R

As a “thank you” to our blog, mailing list, and Twitter followers (@WinVectorLLC) we at Win-Vector LLC have decided to re-release our formerly fee-based A/B testing video course as a free (advertisement supported) video course here on Youtube. The course emphasizes how to design A/B tests using prior “guestimates” of effect sizes (often you have … Continue reading...

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Shiny Developer Conference

January 31, 2016
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Shiny Developer Conference

Really enjoying RStudio‘s Shiny Developer Conference | Stanford University | January 2016. Winston Chang just demonstrated profvis, really slick. You can profile code just by wrapping it in a profvis({}) block and the results are exported as interactive HTML widgets. For example, running the R code below: if(!('profvis' %in% rownames(installed.packages()))) { devtools::install_github('rstudio/profvis') } library('profvis') nrow … Continue reading...

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Running R jobs quickly on many machines

January 22, 2016
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Running R jobs quickly on many machines

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 up calculation. In this note we will show how to move from running jobs multiple CPUs/cores to running jobs multiple machines (for … Continue reading...

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Win-Vector data science mailing list (and a give-away!)

January 20, 2016
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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 notices, upcoming speaking events, and data science products. To kick this off we will be awarding 5 free permanent subscriptions to our video … Continue reading...

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Prepping Data for Analysis using R

January 20, 2016
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Prepping Data for Analysis using R

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 the theory behind the vtreat data preparation library. We also have a Github repository including all the lecture … Continue reading...

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A gentle introduction to parallel computing in R

January 18, 2016
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A gentle introduction to parallel computing in R

Let’s talk about the use and benefits of parallel computation in R. IBM’s Blue Gene/P massively parallel supercomputer (Wikipedia). Parallel computing is a type of computation in which many calculations are carried out simultaneously.” Wikipedia quoting: Gottlieb, Allan; Almasi, George S. (1989). Highly parallel computing The reason we care is: by making the computer work … Continue reading...

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Nina Zumel and John Mount part of R Day at Strata + Hadoop World in San Jose 2016

January 17, 2016
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Nina Zumel and I are honored to have been invited to be part of Strata + Hadoop World in San Jose 2016 R Day organized by RStudio and O’Reilly. We have written a lot on the topic of model validation in R and we are very excited to distill it down to an exciting tutorial. … Continue reading...

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