One of the R language's most powerful features is its ability to deal with random distributions: not just generating random numbers from various distributions (based on a very powerful pseudo-random number generator), but also calculating densities, probabilities, and quintiles. John Cook provides a handy reference chart listing all of the distributions supported by standard R (reproduced below -- and...
1737 search results for "GIS"
GillespieSSA 0.5-4 is released
I just uploaded GillespieSSA 0.5-4 to CRAN. It should be just a matter of days before it has propagated itself across all mirrors. This release consists of minor revisions with no (intended) changes in functionality. The main change (and it is … Continue reading →
Auto-completion in Notepad++ for R Script
Auto-completion is fancy in a text editor. Notepad++ does not support auto-completion for the R language, so I spent a couple of hours on creating such an XML file to support R: Put it under ‘plugins/APIs‘ in the installation directory of Notepad++ (you can see several other XML files there supporting different languages such as
Fun with the proto package: building an MCMC sampler for Bayesian regression
The proto package is my latest favourite R goodie. It brings prototype-based programming to the R language - a style of programming that lets you do many of the things you can do with classes, but with a lot less up-front work. Louis Kates and Thomas P...
Fun with the proto package: building an MCMC sampler for Bayesian regression
The proto package is my latest favourite R goodie. It brings prototype-based programming to the R language - a style of programming that lets you do many of the things you can do with classes, but with a lot less up-front work. Louis Kates and Thomas Petzoldt provide an excellent introduction to using proto in the
R Environments for Gibbs Sampler State
I recently decided to revisit some R code that implements a Gibbs sampler in an attempt to decrease the iteration time. My strategy was to implement the sampler state as an R environment rather than a list. The rationale was that passing an environment to and from functions would reduce the amount of duplication (memory
Internal Migration Estimation in England and Wales
During my MS.c. I worked on methods for combining internal migration data in England and Wales. Migration data is often represented in square tables of origin-destination flows. These are of particular interest to analysing migration patterns when they are disaggregated … Continue reading →
Big data for R
Big data for R
Hacking the CISEN homicide data
The director of the CISEN, the Mexican agency in charge of generating intelligence to safeguard Mexico's security, said in a presentation yesterday that the number of homicides linked to the drug war was a little over 28,000 since the start of the Calderon administration.
Guillermo Valdés didn't provide the raw data so I used Engauge to digitize...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
