R User Groups and "after hours" Creativity

October 16, 2014
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R User Groups and "after hours" Creativity

by Joseph Rickert There is something about R user group meetings that both encourages, and nourshies a certain kind of "after hours" creativity. Maybe it is the pressure of having to make a presentation about stuff you do at work interesting to a general audience, or maybe it is just the desire to reach a high level of play....

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MilanoR meeting: call for presentations

October 16, 2014
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MilanoR staff is organizing the next MilanoR meeting. T

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Where do I start using Bioconductor?

October 15, 2014
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Where do I start using Bioconductor?

I was recently asked where do I get started with Bioconductor? and thought this would be a good short post. What is BioC? Briefly, Bioconductor (Gentleman, Carey, Bates, and others, 2004) is an open source project that hosts a wide range of tools for...

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Beware Graphical Networks from Rating Scales without Concrete Referents

October 15, 2014
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Beware Graphical Networks from Rating Scales without Concrete Referents

We think of latent variables as hidden causes for the correlations among observed measures and rely on factor analysis to reveal the underlying structure. In a previous post, I borrowed an alternative metaphor from the R package qgraph and produce...

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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 , 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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Rules of thumb to predict how long you will live

October 15, 2014
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Rules of thumb to predict how long you will live

Figure out how long you will live with these rules of thumb. The post Rules of thumb to predict how long you will live appeared first on Decision Science News.

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JJ Allaire, the useR! 2014 interview

October 15, 2014
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JJ Allaire has courageously bet, time and time again, on the cutting edge of technologies....

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Structural “Arbitrage”: Trading the Equity Curve

October 15, 2014
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Structural “Arbitrage”: Trading the Equity Curve

The last post demonstrated that far from being a world-beating, absolutely amazing strategy, that Harry Long’s Structural “Arbitrage”, was in … Continue reading →

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splitstackshape V1.4.0 for R

October 15, 2014
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After more than a year since splitstackshape V1.2.0, I’ve finally gotten around to making some major updates and submitting the package to CRAN. So, if you have messed up datasets filled with concatenated cells of data, and you need to split that data up and reorganize it for later analysis, install and load the latest

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Introducing Revolution R Open and Revolution R Plus

October 15, 2014
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For the past 7 years, Revolution Analytics has been the leading provider of R-based software and services to companies around the globe. Today, we're excited to announce a new, enhanced R distribution for everyone: Revolution R Open. Revolution R Open is a downstream distribution of R from the R Foundation for Statistical Computing. It's built on the R 3.1.1...

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The Generalized Lambda Distribution and GLDEX Package for Fitting Financial Return Data – Part 2

October 14, 2014
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The Generalized Lambda Distribution and GLDEX Package for Fitting Financial Return Data – Part 2

Part 2 of a series by Daniel Hanson, with contributions by Steve Su (author of the GLDEX package) Recap of Part 1 In our previous article, we introduced the four-parameter Generalized Lambda Distribution (GLD) and looked at fitting a 20-year set of returns from the Wilshire 5000 Index, comparing the results of two methods, namely the Method of Moments,...

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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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analogue 0.14-0 released

October 14, 2014
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A couple of week’s ago I packaged up a new release of analogue, which is available from CRAN. Version 0.14-0 is a smaller update than the changes released in 0.12-0 and sees a continuation of the changes to dependencies to have packages in Imports rather than Depends. The main development of analogue now takes place on github...

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analyze the public libraries survey (pls) with r

October 14, 2014
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each and every year, the institute of museum and library services coaxes librarians around the country to put down their handheld "shhhh..." sign and fill out a detailed online questionnaire about their central library, branch, even bookmobile.  t...

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Subset replacement in pqR: Now faster and better

October 13, 2014
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Subset replacement in pqR: Now faster and better

The latest version of pqR that I just released uses a new way of implementing subset replacement operations — such as a<-1 or L$M<-v. The new approach is much faster, and eliminates some strange behaviour of the previous approach. This change affects only interpreted code. The bytecode compiler (available since R-2.13.0) introduced a different mechanism, which is

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Bioinformatics journals: time from submission to acceptance, revisited

October 13, 2014
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Bioinformatics journals: time from submission to acceptance, revisited

Before we start: yes, we’ve been here before. There was the Biostars question “Calculating Time From Submission To Publication / Degree Of Burden In Submitting A Paper.” That gave rise to Pierre’s excellent blog post and code + data on Figshare. So why are we here again? 1. It’s been a couple of years. 2.

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ggvis 0.4

October 13, 2014
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ggvis 0.4

ggvis 0.4 is now available on CRAN. You can install it with: install.packages("ggvis") The major features of this release are: Boxplots, with layer_boxplots() chickwts %>% ggvis(~feed, ~weight) %>% layer_boxplots() Better stability when errors occur. Better handling of empty data and malformed data. More consistent handling of data in compute pipeline functions. Because of these changes,

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Spending Seized Assets – A State-by-State Per-capita Comparison in R

October 13, 2014
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Spending Seized Assets – A State-by-State Per-capita Comparison in R

The Washingon Post did another great story+vis, this time on states Spending seized assets. According to their sub-head: Since 2008, about 5,400 police agencies have spent $2.5 billion in proceeds from cash and property seized under federal civil forfeiture laws. Police suspected the assets were linked to crime, although in 81 percent of cases no

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Analyze Instagram with R

October 13, 2014
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Analyze Instagram with R

This tutorial will show you how you create an Instagram app, create an authentication process with R and get data via the Instagram API. There is no R package for this yet so we... The post Analyze Instagram with R appeared first on ThinkToStart.

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New Course! A hands-on introduction to statistics with R by A. Conway (Princeton University)

October 13, 2014
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New Course! A hands-on introduction to statistics with R by A. Conway (Princeton University)

The best way to learn is at your own pace. Combining the interactive R learning environment of DataCamp and the expertise of Prof. Conway of Princeton, we offer you an extensive online course on introductory statistics with R.  Start learning now… Whether you are a professional using statistics in your job, an academic wanting a

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Hadley Wickham’s dplyr tutorial at useR! 2014, Part 1

October 13, 2014
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Hadley Wickham (perhaps you’ve heard of his work) presented a 2 hour workshop on dplyr...

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Hadley Wickham presents dplyr at useR! 2014

October 13, 2014
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Hadley Wickham is hard at work, releasing packages which leverage the expressive power of R...

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Introducing the Reproducible R Toolkit and the checkpoint package

October 13, 2014
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Introducing the Reproducible R Toolkit and the checkpoint package

The ability to create reproducible research is an important topic for many users of R. So important, that several groups in the R community have tackled this problem. Notably, packrat from RStudio, and gRAN from Genentech (see our previous blog post). The Reproducible R Toolkit is a new open-source initiative from Revolution Analytics. It takes a simple approach to...

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dplyr 0.3

October 13, 2014
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dplyr 0.3

I’m very pleased to announce that dplyr 0.3 is now available from CRAN. Get the latest version by running: install.packages("dplyr") There are four major new features: Four new high-level verbs: distinct(), slice(), rename(), and transmute(). Three new helper functions between, count(), and data_frame(). More flexible join specifications. Support for row-based set operations. There are two

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Sensitivity and Elasticity of seasonal matrix model

October 13, 2014
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Sensitivity and Elasticity of seasonal matrix model

The previous article introduced the seasonal matrices and the population growth rate λ of imaginary annual plant.  In this article, let’s try the sensitivity analysis of these matrices and the … Continue reading →

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Do Political Scientists Care About Effect Sizes: Replication and Type M Errors

October 13, 2014
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Reproducibility has come a long way in political science since I began my PhD all the way back in 2008. Many major journals now require replication materials be made available either on their websites or some service such as the Dataverse Network.This ...

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Beautiful Curves: The Harmonograph

October 12, 2014
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Beautiful Curves: The Harmonograph

Each of us has their own mappa mundi (Gala, my indispensable friend) The harmonograph is a mechanism which, by means of several pendulums, draws trajectories that can be analyzed not only from a mathematical point of view but also from an artistic one. In its double pendulum version, one pendulum moves a pencil and the

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Seinfeld streak at GitHub

October 12, 2014
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Seinfeld streak at GitHub

Early last year, I referred to a Seinfeld Streak in a blog post referring to almost two months of updates to the Rcpp Gallery. This is sometimes called Jerry Seinfeld's secret to productivity: Just keep at it. Don't break the streak. I now have different streak: Now we'll see how...

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Tuning LaplacesDemon

October 12, 2014
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Tuning LaplacesDemon

I was continuing with my Bayesian algorithms in R exercise. For these exercises I port SAS PROC MCMC examples to the various R solutions. However, the next example was logit model and that's just too simple, especially after last week's Jacobian for th...

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