Here are some functions that I regularly use for geographic data (e.g. binning, filtering, calculation of new positions etc.).#distance in kilometers between two long/lat positions (from "fossil" package)earth.dist <- function (long1, lat1, long2, l...
There are lots of R documents and over 3000 R packages. Which documents to start with and which R packages to use are questions faced by many people. If you are new to R, an Introduction to R can be … Continue reading →
I received this email today: I have a question about the ets() function in R, which I am trying to use for Holt-Winters exponential smoothing. My problem is that I am getting very different estimates of the alpha, beta and gamma parameters using ets() compared to HoltWinters(), and I can’t figure out why. This is
Bootstrapping standard errors can be a useful technique when obtaining closed form for the standard error formula is difficult or intractable. In this post, I give an example of how to use R to create a bootstrap sampling distribution in the context o...
Bootstrapping standard errors can be a useful technique when obtaining closed form for the standard error formula is difficult or intractable. In this post, I give an example of how to use R to create a bootstrap sampling distribution in the context o...
Following up Conrad's 1.99.2 release (in RcppArmadillo 0.2.20), we now have Armadillo 1.99.3 en route to the upcoming 2.0.0 release. Armadillo is a templated C++ library for linear algebra---which RcppArmadillo brings to R based on our Rcpp library...
There is a nice R module for apache: rApache. So you can easily publish statistics.
I do like Dropbox. I’m a big fan of easy to use solutions to common problems. For me I work at two different sites and I do a significant amount of work at my desktop machine at home as well as on my laptop. Dropbox solved the problem of synchronising files between
In R functions sometimes produces warnings or errors. In the case of errors execution of a function or a series of commands can get halted when an error occurs, which can in some cases be frustrating especially if we want to continue our calculations. There are various functions available in R for dealing with errors
In this, Chomsky is in complete agreement with O’Reilly. (I recognize that the previous sentence would have an extremely low probability in a probabilistic model trained on a newspaper or TV corpus.)1 Anyone who considers themself an intellectual should be required to read this new essay by Peter Norvig. It’s the best summary I’ve ever
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
