In this earlier post, I analyzed tidal water surface elevation data from the NOAA PORTS system from both the Delaware Estuary and the Chesapeake Bay, showing how the two systems react very differently to the tidal forcing at their Atlantic Ocean boundaries.  Animated plots may be even more effective at ... [Read more...]

In this earlier post, I analyzed tidal water surface elevation data from the NOAA PORTS system from both the Delaware Estuary and the Chesapeake Bay, showing how the two systems react very differently to the tidal forcing at their Atlantic Ocean bounda... [Read more...]

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At MCMskv, Alexander Ly (from Amsterdam) pointed out to me some R programming mistakes I made in the introduction to Metropolis-Hastings algorithms I wrote a few months ago for the Wiley on-line encyclopedia! While the outcome (Monte Carlo posterior) of the corrected version is moderately changed this is nonetheless embarrassing! ... [Read more...]

This document contains a startup script for H2O in R. It is a silly example (why would anybody want to train a deep encoder on the iris dataset) but it helps people get started. This setup is meant for local use, not for cluster setup. Just copy the code ... [Read more...]

In the exercises below we cover the basics of conditional execution. In all previous exercises, the solutions required one or more R statements that were all executed consecutively. In this series of exercises we’re going to use the if, else and ifelse functions, to execute only a subset of ... [Read more...]

Congratulations to all the winners of the Win-Vector “Introduction to Data Science” Video Course giveaway! We’ve emailed all of you your individual subscription coupons. Even though this contest is over, we still encourage those interested to join our mailing list. Our updates to the list will be infrequent, but (... [Read more...]

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Anyone who reads my blog posts knows by now that I’m very enthusiastic about Shiny (the web app framework for R - if you didn’t know what Shiny is then I suggest reading my previous post about it). One of my reasons for liking Shiny so much is ... [Read more...]

by Micheleen Harris Microsoft Data Scientist As a Data Scientist, I refuse to choose between R and Python, the top contenders currently fighting for the title of top Data Science programming language. I am not going to argue about which is better or pit Python and R against each other. ... [Read more...]

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We are glad to announce the launch of datascience-africa.org as a blog that aggregates all the events, news and information impacting the data science community in some of the major cities in Africa. Our community has witnessed the birth and steady growth of several data science meetup groups with ... [Read more...]

In a previous post we saw how to perform bayesian regression in R using STAN for normally distributed data. In this post we will look at how to fit non-normal model in STAN using three example distributions commonly found in empirical data: negative-binomial (overdispersed poisson data), gamma (right-skewed continuous data) ... [Read more...]

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By Ben Ogorek Introduction Regression is a tool that can be used to address causal questions in an observational study, though no one said it would be easy. While this article won't close the vexing gap between correlation and causation, it will offer specific advice when you're after a causal ... [Read more...]

I have admired the work of the artist Bridget Riley for a long time. She is now in her eighties, but as it seems still very creative and productive. Some of her recent work combines simple triangles in fascinating compositions. The longer I look at the... [Read more...]

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The American Community Survey, conducted by the US Census Bureau, collects data from around 3.5 million households each year in order to estimate various demographic statistics of the US population, including appliances installed in the home, languages spoken, work experience and much more (here's the complete data dictionary). The data science ... [Read more...]

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