There are two major threats to complex MCMC estimations:Wrong energy settings (hibernate after 2 hours of inactivity)Automatic Updates (install updates at 3 a.m.)I thought about the latter threat. At times, you may hand some R code to other co-workers,...
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Submit your talks for the R user conference
useR! 2011, the annual R user conference supported by the R Foundation for Statistical Computing, will be held this year in the United Kingdom at the University of Warwick (which is located, oddly enough, in Coventry). Last year's conference featured dozens of presentations on R's use in pretty much every domain of analysis, science and research. There were talks...
The Joy of Sweave – A Beginner’s Guide to Reproducible Research with Sweave
Just wrapped up the slides for the first version of the The Joy of Sweave – A Beginner’s Guide to Reproducible Research with Sweave which I presented today in our lab. I am making the slides available under a Creative Commons … Continue reading →
Quickly adapt starting values in MCMC using paste()
Waiting for convergence of MCMC models can take some time, therefore it may be a good idea to use better starting values. Using paste, one can quickly convert any (parameter) vector in the workspace into a R-style vector (with c()). Here's a function t...
Webinar on Portfolio Design, Optimization and Stability Analysis, Jan 26
We're very excited to host a new webinar from some of the leading researchers in portfolio design: Diethelm Würtz and Mahendra Mehta for the Rmetrics Association. This webinar will give an overview on current and recent developments and tools for portfolio design, optimization and stability analysis with the R/Rmetrics software environment. This webinar will review content available in the...
R: An introduction for psychologists
Here are the slides from the Introduction to R session Danny Kaye and I ran at the BPS Mathematics, Statistics & Computing section CPS Workshop (13 December 2010, Nottingham Trent University).
CosmoPMC released
Martin Kilbinger, an astronomer (cosmologist) with whom we had worked on population Monte Carlo for cosmological inference , has made the PMC C codes available on the CosmoPMC webpage. He has also written a CosmoPMC manual that is now available from arXiv. And he very kindly associated me to 
table() in R
The table function in R is very useful, especially when working with survey data. Often you may have Likert scales for levels of agreement or satisfaction. table() quickly gives the distribution of answers, which can then be used for (bar)plots.However...
table() in R
The table function in R is very useful, especially when working with survey data. Often you may have Likert scales for levels of agreement or satisfaction. table() quickly gives the distribution of answers, which can then be used for (bar)plots.However...
Abusing Amazon’s Elastic MapReduce Hadoop service… easily, from R
JD Long's experimental segue package makes it easy to use Amazon's Elastic MapReduce service to fire up a Hadoop cluster and use it for non-Big Data, computationally-intensive tasks. The package provides a cluster-aware version of lapply() which "just works".
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
