Someone has probably already written code to do this. But I couldn’t find it in CRAN, so here goes. Oh no lm() won’t take complex numbers! (or rather, it’ll take them, but it’ll discard the imaginary part.) Easy enough fix. … Continue reading →

R news and tutorials contributed by (552) R bloggers

We all know that R can do amazing things including 3 dimensional plots. scatterplot3d is probably the most popular package for doing this. But a few days ago I got introduced with rgl package which can do 3 dimensional graphs with some added advantages like we can rotate the plot using mouse, zoom in or out using the mouse...

Here is a message sent by the organisers of MCMSki III in Utah next early January. When registering, make sure to tick the free registration for Adap’skiii as well! The fourth joint international meeting of the IMS (Institute of Mathematical Statistics) and ISBA (International Society for Bayesian Analysis), nicknamed “MCMSki III“, will be held at

In a recent question on Stack Overflow about speeding up group-by operations, Marek wondered which functions called .Internal code (and consequently were fast). I was surprised to see that there appears to be no built-in way to check whether or not this is the case (though is.primitive is available for primitive functions). Writing such a function is quite straight forward....

Over the two days of the Hierarchical Bayesian Methods in Ecology workshop, we managed to cover normal models, testing, regression, Gibbs sampling, generalised linear models, Metropolis-Hastings algorithms and of course a fair dose of hierarchical modelling. At the end of the Saturday marathon session, we spent one and half discussing some models studied by the

The post on the shortcomings of R has attracted a huge number of readers and Ross Ihaka has now posted a detailed comment that is fairly pessimistic… Given the directions drafted in this comment from the father of R (along with Robert Gentleman), I once again re-post this comment as a main entry to advertise

The last bits of raster are coming together and everything is working so we are getting really close here. Today i will cover the raster function ‘cover’ which robert has just updated to handle a brick function. Lets review the situation with a toy example: First, we read in the Land data into a Brick.