1862 search results for "RStudio"

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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Tutorial: Credit Card Fraud Detection with SQL Server 2016 R Services

February 8, 2016
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Tutorial: Credit Card Fraud Detection with SQL Server 2016 R Services

If you have a database of credit-card transactions with a small percentage tagged as fraudulent, how can you create a process that automatically flags likely fraudulent transactions in the future? That's the premise behind the latest Data Science Deep Dive on MSDN. This tutorial provides a step by step to using the R language and the big-data statistical models...

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My favorite tools for helping future me

My favorite tools for helping future me

Reproducible research is a topic that people like to talk about these days. Thinking about reproducible research and learning the important tools is what improved my work more than anything. Not in a sense that my results got better. More in a sense that my feeling about the work got better and my analyses got easier to understand for future...

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Quick shell commands for R users

This note explains how to use an application launcher along with text expansion and shell commands to accomplish a few specific tasks that can be useful to R users. Software requirements This note assumes that you are equipped with an application launcher that supports text expansion and can process shell commands. On Mac OS X, I recommend Alfred, because the...

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Hadley Wickham’s Advanced R in Amsterdam

February 6, 2016
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Hadley Wickham’s Advanced R in Amsterdam

On May 19 and 20, 2016, Hadley Wickham will teach his two day Master R Developer Workshop in the centrally located European city of Amsterdam. Are you ready to upgrade your R skills?  Register soon to secure your seat. For the convenience of those who may travel to the workshop, it will be held at

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Shiny Developer Conference 2016 Recap

February 5, 2016
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This is a guest post from VP Nagraj, a data scientist embedded within UVA’s Health Sciences Library, who runs our Data Analysis Support Hub (DASH) service.Last weekend I was fortunate enough to be able to participate in the first ever Shiny Developer Conference hosted by RStudio at Stanford University....

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Alternate R Markdown Templates

February 4, 2016
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The knitr/R markdown system is a great way to organize reports and analyses. However, the built-in ones (that come with RStudio/the rmarkdown package) rely on Bootstrap and also use jQuery. There’s nothing wrong with that, but the generated standalone HTML documents (which are a great way to distribute reports) don’t really need all that cruft

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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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The R-Podcast Episode 17: A Simply Radiant Chat with Vincent Nijs

February 3, 2016
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The R-Podcast continues its series on Shiny and the first-ever Shiny Developer Conference by catching up with Vincent Nijs, associate professor of marketing at UC San Diego and one of the earliest adopters of Shiny. Some of the topics we cover include...

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Simple Distributions for Mixtures?

February 3, 2016
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Simple Distributions for Mixtures?

The idea of GLMs is that given some covariates,  has a distribution in the exponential family (Gaussian, Poisson, Gamma, etc). But that does not mean that  has a similar distribution… so there is no reason to test for a Gamma model for  before running a Gamma regression, for instance. But are there cases where it might work? That the non-conditional distribution is...

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