October 2013

Fearsome Engines Part 3: Which one should you use?

October 13, 2013 | richierocks

There are lots of R engines emerging! I’ve interviewed members of each of the teams involved in these projects. In part 1 of this series, we covered the motivation of each project. Part 2 looked at the technical achievements and new features. This part tries to determine which projects are suitable ... [Read more...]

Fearsome Engines Part 2: Innovations and new features

October 13, 2013 | richierocks

There are lots of R engines emerging! I’ve interviewed members of each of the teams involved in these projects. In part 1 of this series, we covered the motivation of each project. This part looks at the technical achievements and new features. Many of the innovations are performance improvements, reflecting ... [Read more...]

Prices of houses in the Netherlands

October 13, 2013 | Wingfeet

The last couple of days I read a number of times about stabilization in house prices which had been dropping due to the crisis. And you get hit by numbers such as change against Q2 2013 or Q3 2012. These are accompanied by reasons why this or that quarter may be special ... [Read more...]

Stochastic Optimization in R by Parallel Tempering

October 12, 2013 | Lindons Log » R

I’ve written a few posts now about using parallel tempering to sample from complicated multi-modal target distributions but there are also other benefits and uses to this algorithm. There is a nice post on Darren Wilkinson’s blog about using tempered posteriors for marginal likelihood calculations. There is also ... [Read more...]

Batch Geocoding with R and Google maps

October 12, 2013 | shanelynn

I’ve recently wanted to geocode a large number of addresses (think circa 60k) in Ireland as part of a visualisation of the Irish property market. Geocoding can be simply achieved in R using the geocode() function from the ggmap library. The geocode function uses Googles Geocoding API to turn ... [Read more...]

In case you missed it: September 2013 Roundup

October 11, 2013 | David Smith

In case you missed them, here are some articles from September of particular interest to R users: Todd Schneider wrote an algorithm in R to find the "most concave" US state (it's NY), and created an animation to show how it works. Rob Hyndman (of the "forecast" package) describes how ... [Read more...]

October 24: 4th MilanoR meeting. Agenda

October 11, 2013 | Milano R net

October 24, 2013 - 18:00 - 21:00 Fiori Oscuri Bistrot & Bar (www.fiorioscuri.it) Via Fiori Oscuri, 3 - Milano (Zona Brera) 18.00 - 18.15 Registration 18.15 - 18.45 Welcome presentation R and Microsoft Office Nicola Sturaro, Consultant at Quantide 18.45 - … Continue reading → [Read more...]

Random Sequence of Heads and Tails: For R Users

October 10, 2013 | Wesley

Rick Wicklin on the SAS blog made a post today on how to tell if a sequence of coin flips were random.  I figured it was only fair to port the SAS IML code over to R.  Just like Rick Wicklin did in his example this is the Wald-Wolfowitz test ... [Read more...]

Custom Legend in R

October 10, 2013 | Mollie

This particular custom legend was designed with three purposes: To effectively bin values based on a theoretical minimum and maximum value for that variable (e.g. -1 and 1 or 0 and 100) To use a different interval notation than the default To handle NA values Even though this particular legend was designed ... [Read more...]

Calculating AUC the hard way

October 10, 2013 | Corey Chivers

The Area Under the Receiver Operator Curve is a commonly used metric of model performance in machine learning and many other binary classification/prediction problems. The idea is to generate a threshold independent measure of how well a model is able to distinguish between two possible outcomes. Threshold independent here ... [Read more...]
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