Posts Tagged ‘ R ’

Why is my OS X Yosemite install taking so long?: an analysis

October 23, 2014
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Why is my OS X Yosemite install taking so long?: an analysis

Why? Since the latest Mac OS X update, 10.10 "Yosemite", was released last Thursday, there have been complaints springing up online of the progress bar woefully underestimating the actual time to complete installation. More specifically, it appeared as if, for a certain group of people (myself included), the installer would stall out at "two minutes »more

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Prediction intervals too narrow

October 22, 2014
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Prediction intervals too narrow

Almost all prediction intervals from time series models are too narrow. This is a well-known phenomenon and arises because they do not account for all sources of uncertainty. In my 2002 IJF paper, we measured the size of the problem by computing the actual coverage percentage of the prediction intervals on hold-out samples. We found […]

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Degrees of Choice: A modification of a WSJ graphic

October 20, 2014
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This post uses ggplot2 and rCharts to modify a grouped bar chart that appeared in an article that appeared online on October 19, 2014 in Wall Street Journal’s site. The article was titled “How to Sell a Liberal-Arts Education”. The code for ...

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Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman

October 20, 2014
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Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman

Big data is all the rage, but sometimes you don’t have big data. Sometimes you don’t even have average size data. Sometimes you only have eleven unique socks: Karl Broman is here putting forward a very interesting problem. Interesting, not onl...

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hts with regressors

October 20, 2014
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hts with regressors

The hts package for R allows for forecasting hierarchical and grouped time series data. The idea is to generate forecasts for all series at all levels of aggregation without imposing the aggregation constraints, and then to reconcile the forecasts so they satisfy the aggregation constraints. (An introduction to reconciling hierarchical and grouped time series is […]

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a bootstrap likelihood approach to Bayesian computation

October 15, 2014
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a bootstrap likelihood approach to Bayesian computation

This paper by Weixuan Zhu, Juan Miguel Marín [from Carlos III in Madrid, not to be confused with Jean-Michel Marin, from Montpellier!], and Fabrizio Leisen proposes an alternative to our 2013 PNAS paper with Kerrie Mengersen and Pierre Pudlo on empirical likelihood ABC, or BCel. The alternative is based on Davison, Hinkley and Worton’s (1992) […]

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googleVis 0.5.6 released on CRAN

October 14, 2014
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googleVis 0.5.6 released on CRAN

Version 0.5.6 of googleVis was released on CRAN over the weekend. This version fixes a bug in gvisMotionChart. Its arguments xvar, yvar, sizevar and colorvar were not always picked up correctly. Thanks to Juuso Parkkinen for reporting this issue.Exampl...

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My visits and RDataMining talks in North America

October 11, 2014
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My visits and RDataMining talks in North America

  I visited Mexico recently and is now travelling in US. In the 1st week of October, I delivered a keynote talk at the CONAIS 2014 conference in Mexico, as well as a one-day workshop on data mining with R … Continue reading →

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Waterfall and 3D plotting exploration

October 9, 2014
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Waterfall and 3D plotting exploration

Taking the very cool 'waterfall graph' code posted by Robert Grant I have added some features (resistance to distributions with sparse data at some areas) as well as the ability to heat map the bivariate distribution based on a third variable z. Find t...

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Julia style string literal interpolation in R

October 8, 2014
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Julia style string literal interpolation in R

I feel like a sculptor who has been using the same metal tools for the last four years and happened to have looked at my comrades and found them sporting new, sleek electric tools. Suddenly all of the hard work put into maintaining and adapting my meta...

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