Monthly Archives: May 2015

New shinyjs version: Useful tools for any Shiny app developer + easily call JavaScript functions as R code

May 31, 2015
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New shinyjs version: Useful tools for any Shiny app developer + easily call JavaScript functions as R code

About a month ago I made an announcement about the initial release of shinyjs. After some feedback, a few feature requests, and numerous hours of work, I’m excited to say that a new version of shinyjs v0.0.6.2 was made available on CRAN this week. The package’s main objective is to make shiny app development better and easier by...

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rfoaas 0.1.6

After a few quiet months, a new version of rfoaas is now on CRAN. As before, it shadows upstream release of FOAAS from which carried over the version number 0.1.6. The rfoaas package provides an interface for R to the most excellent FOAAS service--which provides a modern, scalable and RESTful web service for the frequent need...

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Paper Helicopter Experiment, part III

May 31, 2015
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Paper Helicopter Experiment, part III

As final part of my paper helicopter experiment analysis (part I, part II) I do a reanalysis for one more data set. In 2002 Erik Erhardt and Hantao Mai did an extensive experiment, see The Search for the Optimal Paper Helicopter. They did a number of s...

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A new R package for detecting unusual time series

May 30, 2015
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A new R package for detecting unusual time series

The anomalous package provides some tools to detect unusual time series in a large collection of time series. This is joint work with Earo Wang (an honours student at Monash) and Nikolay Laptev (from Yahoo Labs). Yahoo is interested in detecting unusual patterns in server metrics. The basic idea is to measure a range of

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Lessons learned in high-performance R

Lessons learned in high-performance R

On this blog, I've had a long running investigation/demonstration of how to make a "embarrassingly-parallel" but computationally intractable (on commodity hardware, at least) R problem more performant by using parallel computation and Rcpp. The example problem is to find the… Continue reading →

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Reproducibility breakout session at USCOTS

May 30, 2015
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Somehow almost an entire academic year went by without a blog post, I must have been busy… It’s time to get back in the saddle! (I’m using the classical definition of this idiom here, “doing something you stopped doing for a … Continue reading →

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Cracking Safe Cracker with R

May 30, 2015
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Cracking Safe Cracker with R

My wife got me a Safe Cracker 40 puzzle a while back. I believe I misplaced the solution some time back. The company, Creative Crafthouse, stands behind their products. They had amazing customer service and promptly supplied me with a … Continue reading →

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Modeling Ebola Contagion Using Airline Networks in R

May 30, 2015
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Modeling Ebola Contagion Using Airline Networks in R

I first became interested in networks when reading Matthew O’Jackson’s 2010 paper describing their application to economics. During the 2014 ebola outbreak, there was a lot of concern over the disease spreading to the U.S.. I was caught up with work/classes at the time, but decided to use airline flight data to at least explore the question. The source … Continue reading...

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Modeling Contagion Using Airline Networks in R

May 30, 2015
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Modeling Contagion Using Airline Networks in R

I first became interested in networks when reading Matthew O’Jackson’s 2010 paper describing networks in economics. At some point during the 2014 ebola outbreak, I became interested in how the disease could actually come to the U.S. I was caught up with work/classes at the time, but decided to use airline flight data to at least explore the … Continue reading...

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Top of the Heap: How Much Can We Learn from Partial Rankings?

May 30, 2015
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Top of the Heap: How Much Can We Learn from Partial Rankings?

The recommendation system gives you a long list of alternatives, but the consumer clicks on only a handful: most appealing first, then the second best, and so on until they stop with all the remaining receiving the same rating as not interesting enough...

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