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Wind in Netherlands
By Wingfeet (This article was originally published at Wiekvoet, and syndicated at StatsBlogs.) In climate change discussions, everybody talks about temperature. But weather is much more than that....
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Paret’oothed importance sampling and infinite variance [guest post]
By xi’an (This article was originally published at Xi’an’s Og » R, and syndicated at StatsBlogs.) [Here are some comments sent to me by Aki Vehtari in the sequel of the previous posts.] The following...
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17 (new) R jobs from around the world (for 2015-11-16)
By Tal Galili This is the bi-monthly R-bloggers post (for 2015-11-16) for new R Jobs. To post your R job on the next post Just visit this link and post a new R job to the R community (it’s free and...
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HOFs, closures, partial application and currying to solve the function...
By darrenjw (This article was originally published at Darren Wilkinson’s research blog, and syndicated at StatsBlogs.) Introduction Functional programming (FP) is a programming style that emphasises...
View ArticleAggregate – A Powerful Tool for Data Frame in R
By David Kun This post gives a short review of the aggregate function as used for data.frames and presents some interesting uses: from the trivial but handy to the most complicated problems I have...
View ArticleRcppAnnoy 0.0.7
By Thinking inside the box A new version of RcppAnnoy, our Rcpp-based R integration of the nifty Annoy library by Erik, is now on CRAN. Annoy is a small, fast, and lightweight C++ template header...
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Paret’oothed importance sampling and infinite variance [guest post]
By xi’an [Here are some comments sent to me by Aki Vehtari in the sequel of the previous posts.] The following is mostly based on our arXived paper with Andrew Gelman and the references mentioned...
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Profile Likelihood
By arthur charpentier Consider some simulated data > set.seed(1) > x=exp(rnorm(100)) Assume that those data are observed i.id. random variables with distribution, with . The natural idea is to...
View ArticleComment on Overnight SPY Anomaly
By Joshua Ulrich This post is in response to Michael Harris’ Price Action Lab post, where he uses some simple R code to evaluate the asymmetry of returns from the day’s close to the following day’s...
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How to Search for Census Data from R
By Ari Lamstein In my course Learn to Map Census Data in R I provide people with a handful of interesting demographics to analyze. This is convenient for teaching, but people often want to search for...
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How long does it take to get to the airport from NYC?
By David Smith Todd W Schneider analyzed a database of 1.1 billion taxi rides in New York City from 2009-2015, and discovered some interesting insights on how New Yorkers use cabs. For example, here’s...
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Product Insights for Airbnb
By Edwin Chen I love marketplaces and marketplace data, so a couple months ago I grabbed some Airbnb data and made a slide deck. A few people have asked me about it, so here it is along with a short...
View ArticleRated R: Recommended Reading
By Joseph Rickert by Joseph Rickert What are you reading? – and what are you recommending to friends, colleagues, and students who want to learn something about R programming? A quick search of Amazon...
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Celebrating one year of blogging with a word cloud
By jyothi This month marks the one year anniversary of Design Data Decisions! To celebrate, I decided to do a ‘visual display’ of this blog by creating a word cloud out of articles posted thus far....
View ArticleSunday morning puzzle
By xi’an (This article was originally published at Xi’an’s Og » R, and syndicated at StatsBlogs.) A question from X validated that took me quite a while to fathom and then the solution suddenly became...
View ArticleFree gradient boosting lecture
By John Mount We have always regretted that we didn’t get to cover gradient boosting in Practical Data Science with R (Manning 2014). To try make up for that we are sharing (for free) our GBM lecture...
View ArticleFree gradient boosting lecture
By John Mount We have always regretted that we didn’t get to cover gradient boosting in Practical Data Science with R (Manning 2014). To try make up for that we are sharing (for free) our GBM lecture...
View ArticleAn OS X R Task Runner for—and a Mini-R-centric review of—Microsoft’s Visual...
By hrbrmstr Microsoft’s newfound desire to make themselves desirable to the hipster development community has caused them to make many things open and/or free of late. One of these manifestations is...
View ArticleBack to the BLAS Issue
By matloff A few days ago, I wrote here about how some researchers, such Art Owen and Katelyn Gao at Stanford and Patrick Perry at NYU, have been using an old, old statistical technique — random...
View ArticleCreate ARIMA time series from bottom up
By Peter’s stats stuff – R Simulating ARIMA models Generating an arbitrary Auto-Regressive Integrated Moving Average (ARIMA) model is easy in R with the arima.sim() function that is part of the...
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