June 2014

rlist: a new package for working with list objects in R

June 25, 2014 | Kun Ren

In recent years, non-relational data have attracted more and more attentions. Roughly speaking, all datasets that are hard to put into a rectangular table with rows and columns are non-relational datasets. The following data is a very simple non-relational dataset in JSON format. The dataset contains some information of three ... [Read more...]

Boolean 3 (finally) on CRAN

June 25, 2014 | Jason

I have finally managed to get boolean3 accepted to CRAN. You can find it here: boolean3 on CRAN. To summarize: boolean3 provides a means of estimating partial-observability binary response models following boolean logic. boolean3 was developed by Jason W. Morgan under the … Continue reading → [Read more...]

R Scrabble: Part 2

June 25, 2014 | Bogumił Kamiński

Ivan Nazarov and Bartek Chroł gave very interesting comments to my last post on counting number of subwords in NGSL words. In particular they proposed large speedups of my code. So I thought to try checking a larger data set. So today I will work with TWL2006 - the official ... [Read more...]

Interactive, web-ready ggplot2-style graphics with ggvis

June 25, 2014 | David Smith

Hadley Wickham's been working on the next-generation update to ggplot2 for a while, and now it's available on CRAN. The ggvis package is completely new, and combines a chaining syntax reminiscent of dplyr with the grammar of graphics concepts of ggplot2. The resulting charts are web-ready in scalable SVG format, ... [Read more...]

Do you believe in World Cup superstition?

June 24, 2014 | Daniel Marcelino

If you believe in supernatural causality, you will love what the numbers of the World Cup have to say which team is going to win this Cup in Brazil. According to this numerology approach neither Brazil nor Germany or Netherlands will be the winner, but Uruguay. The table below shows ... [Read more...]

ABC model choice by random forests

June 24, 2014 | xi'an

After more than a year of collaboration, meetings, simulations, delays, switches,  visits, more delays, more simulations, discussions, and a final marathon wrapping day last Friday, Jean-Michel Marin, Pierre Pudlo,  and I at last completed our latest collaboration on ABC, with the central arguments that (a) using random forests is a ... [Read more...]

Bedtools tutorial from 2013 CSHL course

June 24, 2014 | Stephen Turner

A couple of months ago I posted about how to visualize exome coverage with bedtools and R. But if you're looking to get a basic handle on genome arithmetic, take a look at Aaron Quinlan's bedtools tutorials from the 2013 CSHL course. The tutorial uses ... [Read more...]

Statistics and R at the Intel ISEF Science Fair

June 24, 2014 | Joseph Rickert

by Wayne Smith, Ph.D. California State University, Northridge Editor's note: This post was abstracted from the monthly newsletter of the Southern California Chapter of the ASA. On May 13th and 14th, the Intel International Science and Engineering Fair (Intel ISEF) the world’s largest international pre-college competition, was held ... [Read more...]

Using Julia As A ‘Glue’ Language

June 24, 2014 | Randy Zwitch

While much of the focus in the Julia community has been on the performance aspects of Julia relative to other scientific computing languages, Julia is also perfectly suited to ‘glue’ together multiple data sources/languages. In this blog post, I will cover how to create an interactive plot using Gadfly.... [Read more...]

R function call overhead in Rcpp(11)

June 24, 2014 | romain francois

Some people have asked for some facts about the differences between Rcpp11 and Rcpp, here is just one nugget. If you've been following the Rcpp world for some time, you might have seen comments like: Calling an R function from C++ is expensive. ... [Read more...]

A Whole New R World with Chains and Pipes

June 23, 2014 | klr

I think that the recent shift in the R world to chains and pipes will become permanent.  Even if not, this style of code translates well to Javascript and other languages.  I thought a finance example exploring Fama/French factors with dplyr, magritt... [Read more...]

Speed Chain Ladder Analysis with Rcpp

June 23, 2014 | Rcpp Gallery

The Chain Ladder method is an actuarial technique used for projecting incurred insurance claims to their ultimate loss values. The data exists as claims triangles where the claims for each accounting year increments down the rows and the claims for eac...
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