Thanks to its use of Apple's vecLib for BLAS, LAPACK and related functions, the open source distribution of R performs many matrix calculations 2-10X faster than Revolution Analytics Community edition on Mac OS X systems.![]()
This is Part 3 of a five-part article series, with new parts published each Thursday. You can download the complete article from the Revolution Analytics website. Power from Elegance If the R movement has a genuine rock star, it’s probably Hadley Wickham. He’s an assistant professor and the Dobelman Family Junior Chair in Statistics at Rice University. He’s written...
Second stop of my world tour was chicago yesterday night, where I presented a quick light review of various ways to represent objects in R: lexical scoping, S3, S4, the new reference classes and also with C++ using Rcpp modules or RProtoBuf My sli...
In our last installment we looked at stations which were pitch black. The case I examined, Middlesboro Kentucky illustrated 1. The station location data used by Hansen2010 has inaccuracies. 2. While the purported station location was pitch dark, nearby within a couple 1/100ths of a degree there were urban lights. What this example illustrated was 
Getting presence data of species is often not easy and can be a major obstacle when attempting to model the distribution of species. One way is using the GBIF data base. Here I show one way how to obtain presence … Continue reading →