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...ought is very important for humankind. -His Holiness the Dalai Lama Wisdom does not mean knowledge but experiential understanding. Wisdom helps you to change radically your habits and perceptions, as you discover the constantly changing, interconnected nature of the whole of existence. -Martine Batchelor, "Meditation For Life" -------------------------------------------------------

...ought is very important for humankind. -His Holiness the Dalai Lama Wisdom does not mean knowledge but experiential understanding. Wisdom helps you to change radically your habits and perceptions, as you discover the constantly changing, interconnected nature of the whole of existence. -Martine Batchelor, "Meditation For Life" -------------------------------------------------------

I have seriously enjoyed reading and utilizing all of the features, additions and q/a input from the list. My question is not so much related to the actual code, but more along the lines of the "list" we utilize to communicate. I was wondering if there was an "official" forum for all these awesome addons, questions, etc? If not, would it be possible for us to get one or is

Hi, Im using geoR and I'm trying to do some predictions, based on an external trend. I'm having some problems specifying my model.control, specifically how do I define my model, and also the source of the covariate data at the prediction locations? I am assuming that the covariate data at the prediction locations should be imported to a geodata object along with the prediction location

Sorry, this is probably quite an easy question, but I'm new to R and couldn't find the answer anywhere. I'm using geoR and geoRglm, but can't figure out how to get a border in my geodata object. Does this need to be defined when I'm importing my data, or afterwards, and how do I go about doing this? Thanks -- View this message in context:

Hi, Im carrying out some Bayesian analysis using a binomial response variable (proportion: 0 to 1), but most of my observations have a value of 0 and many have very small values (i.e. 0.001). I'm having troubles getting my MCMC algorithm to converge, so I have decided to try normalising my response variable to see if this helps. I want it to stay between 0 and 1 but to have a larger range

Hi, I read somewhere that when carrying out geostatistical analysis in R you should not use latitude and longitude...can anyone expand on this a little for me, and what would be the best coordinate system to use? I have my data in a geographic coordinate system, WGS84, decimal degrees....is this the wrong format for such analyses? I have also converted my data in the UTM projection and so have