We have now completed our revision of the parallel computation paper and hope to send it to JCGS within a few days. As seen on the arXiv version, and given the very positive reviews we received, the changes are minor, mostly focusing on the explanation of the principle and on the argument that it comes essentially free. Pierre also redrew the graphs in a more compact and nicer way, thanks to the ggplot2 package abilities. In addition, Pierre put the R and python programs used in the paper on a public depository.
Archive for ggplot2
Today, as I was trying to install SpatialEpi to use the Scotland lip cancer data in the last chapter of Bayesian Core, I realised my version of R, R Version 2.6.1, was hopelessly out of date! As I am also using Hardy Heron, a somehow antiquated version of Ubuntu on my Mac, upgrading R took some effort as well. I eventually found that adding the line
deb http://cran.cict.fr/bin/linux/ubuntu hardy/
in /etc/apt/sources.list worked nicely. So I now moved two years forward in time!!! On top is my first attempt at plotting the dataset with my modified version of mapvariable. As it happens, another blog appeared today on R-bloggers about color gradients using ggplot2.