January 2013

First steps in using C++11 with Rcpp

January 9, 2013 | Rcpp Gallery

The recent release of the C++11 standard has brought a lot of attention to the new language features. Rcpp, as a CRAN package, follows CRAN policy in not (yet!!) supporting the standard for its purported non-portable status. Even as of the current g++ ... [Read more...]

Annoucing the Rcpp Gallery

January 8, 2013 | Thinking inside the box

Earlier this morning, JJ announced what we had been working on for the last few weeks: the Rcpp Gallery. Now, as our luck will have it, the Rcpp-devel list received his message but did not transmit it for an apparent mail system outage at WU Vienna:... [Read more...]

Data science = failure of imagination

January 8, 2013 | Matt Bogard

From: https://www.r-bloggers.com/data-driven-science-is-a-failure-of-imagination/I think I like this distinction between Bayesian and Frequentist statistics: "we are nearly always ultimately curious about the Bayesian probability of the hypothesis ... [Read more...]

Interactive MDS visualisation using D3

January 8, 2013 | Simon Barthelme

Here’s a sneak peak into upcoming visualisation work. I’ve been working a bit on MDS (Multi-dimensional scaling), a classical technique for visualising distance data. Classical MDS is useful, but interactive MDS is *much* more useful. Using D3, a Javascript visualisation framework, it’s relatively easy to make interactive ... [Read more...]

R-package: Wilcox’ Robust Statistics updated (WRS v0.20)

January 8, 2013 | FelixS

Rand Wilcox constantly updates the functions accompanying his books on robust statistics. Recently, they have been updated to version 20. The functions are available in the WRS package for R – for installation simply type install.packages("WRS", repos="http://R-Forge.R-project.org") In version 0.20, a number of functions dealing with ANCOVA ... [Read more...]

Remembering server installation details

January 8, 2013 | Luis

I’ve been moving part of my work to university servers, where I’m just one more peasant user with little privileges. In exchange, I can access the jobs from anywhere and I can access multiple processors if needed. Given that I have a sieve-like memory, where configuration details quickly ... [Read more...]

Handling Strings with Rcpp

January 8, 2013 | Rcpp Gallery

This is a quick example of how you might use Rcpp to send and receive R ‘strings’ to and from R. We’ll demonstrate this with a few operations. Sort a String with R Note that we can do this in R in a fairly fast way: my_strings [Read more...]

Using Rcout for output synchronised with R

January 8, 2013 | Rcpp Gallery

The Writing R Extensions manual, which provides the gold standard of documentation as far as extending R goes, suggests to use Rprintf and REprintf for output (from C/C++ code) as these are matched to the usual output and error streams maintained by R ... [Read more...]

Open Science Challenge

January 8, 2013 | Recology - R

Open Science Science is becoming more open in many areas: publishing, data sharing, lab notebooks, and software. There are many benefits to open science. For example, sharing research data alongside your publications leads to increased citation ra...
[Read more...]

Reserving based on log-incremental payments in R, part I

January 8, 2013 | Markus Gesmann

A recent post on the PirateGrunt blog on claims reserving inspired me to look into the paper Regression models based on log-incremental payments by Stavros Christofides [1], published as part of the Claims Reserving Manual (Version 2) of the Institute of Actuaries.The paper is available together with a spread sheet model, ... [Read more...]

Does anything NOT beat the GARCH(1,1)?

January 7, 2013 | alexios

In their paper on GARCH model comparison, Hansen and Lunde (2005) present evidence that among 330 different models, and using daily data on the DM/$ rate and IBM stock returns, no model does significantly better at predicting volatility (based on a realized measure) than the GARCH(1,1) model, for an out of sample ... [Read more...]

Creating a Covariance Matrix from Scratch

January 7, 2013 | jackstat

I have been conducting several simulations that use a covariance matrix.  I needed to expand the code that I found in the psych package to have more than 2 latent variables (the code probably allows it but I didn’t figure it out).  I ran across Joreskog’s 1971 paper and realized ... [Read more...]
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