Monthly Archives: January 2014

RQuantLib 0.3.11

January 27, 2014
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A new minor / maintenance release RQuantLib 0.3.11 is now on CRAN and in Debian. Like the RcppClassic upload two days ago and the RcppZiggurat and RcppEigen uploads yesterday, this release was motivated at least in part by an upcoming Rcpp releas...

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John Chambers recounts the history of S and R

January 27, 2014
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"R has had a revolutionary effect on the way statistics are communicated." So says John Chambers: one of the members of the R-core team overseeing R; and co-inventor of the S language. In this interview with Trevor Hastie (his co-author on Statistical Models in S), John Chambers recounts his involvement in the birth of the S language in 1976,...

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Emerging Currencies with rCharts + FRED

January 27, 2014
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I liked this chart a lot. #Dailychart: Argentina's plunging peso is not alone: http://t.co/CWnaNLcm4T pic.twitter.com/4Nr6EgRGx9— The Economist (@ECONdailycharts) January 27, 2014 I thought I would show how we can semi-replicate it in R with rCharts.  Here it is with the currencies that are on FRED with

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How to convert odds ratios to relative risks

January 27, 2014
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How to convert odds ratios to relative risks

My short paper on this came out on Friday in the British Medical Journal. The aim is to help both authors and readers of research make sense of this rather confusing but unavoidable statistic, the odds ratio (OR). The fundamental … Continue reading →

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solr – an R interface to Solr

January 27, 2014
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A number of the APIs we interact with (e.g., PLOS full text API, and USGS's BISON API in rplos and rbison, respectively) expose Solr endpoints. Solr is an Apache hosted project - it is a powerful search server. Given that at least two, and possibly more in the future, of the data providers we...

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Expected overestimation of Cohen’s d under publication bias

January 27, 2014
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Expected overestimation of Cohen’s d under publication bias

In this post I will use the theoretical and empirical sampling distribution of Cohen's d to show the expected overestimation due to selective publishing. I will look at the overestimation for various sample sizes when the population effect is 0, 0.2, 0.5 and 0.8. The conclusion is that you should be weary of effect sizes from small samples, and...

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New in forecast 5.0

January 26, 2014
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New in forecast 5.0

Last week, version 5.0 of the forecast package for R was released. There are a few new functions and changes made to the package, which is why I increased the version number to 5.0. Thanks to Earo Wang for helping with this new version. Handling missing values and outliers Data cleaning is often the first step that data scientists...

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Announcing pingr: The R Package that Sounds as it is Called

January 26, 2014
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Announcing pingr: The R Package that Sounds as it is Called

pingr is an R package that contains one function, ping(), with one purpose: To go ping on whatever platform you are on (thanks to the audio package). It is intended to be useful, for example, if you are running a long analysis in the background and want to know when it is ready. It’s also useful if...

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RcppEigen 0.3.2.0.2

January 26, 2014
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A new maintenance release of RcppEigen is now on CRAN. And just like yesterday's RcppClassic upload and today's RcppZiggurat upload, the timing was motivated chiefly by some minor caretaking for an upcoming Rcpp release -- hopefully soon, and with mo...

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RcppZiggurat 0.1.2

January 26, 2014
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A new maintenance release of RcppZiggurat is now on CRAN. And just like yesterday's RcppClassic upload, this is motivated chiefly by some minor caretaking for an upcoming Rcpp release -- hopefully soon, and with more details to follow. This release...

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