With the rgl package it’s possible to interact with the 3d visualization of the timespace tracks. Code example: plot3d(lon,lat,timedate, xlim=range(lon), ylim=range(lat), zlim=range(timedate), ticktype=”detailed”, xlab=”longitude”, ylab=”latitude”, zlab=”Date”, col= as.POSIXlt(daten)$mday, type=”l”, main=plottitle) In the posted example individual waypoints were added by drawing vertical lines.
I started to develop GOSemSim package two years ago when I was not quite familiar with R. I am very happy to see that someone use it and found it helpful. I try to learn S4 and redesign GOSemSim with S4 classes and methods in the pass two weeks, and the very first version was implemented. As I’m not...
I started to develop GOSemSim package two years ago when I was not quite familiar with R. I am very happy to see that someone use it and found it helpful. I try to learn S4 and redesign GOSemSim with S4 classes and methods in the pass two weeks, and the very first version was implemented. As I’m...
As so often happens these days, a brief post at FriendFeed got me thinking about data analysis. Entitled “So how many retractions are there every year, anyway?”, the post links to this article at Retraction Watch. It discusses ways to estimate the number of retractions and in particular, a recent article in the Journal of 
Probably everyone has seen Hans Rosling’s famous TED talk by now. I recently came across a couple of other exceptional talks on data visualization: Hans Rosling again: Let my dataset change your mindset. If only all statistics lecturers were this dynamic! David McCandless: The beauty of data visualization. Not so exciting as Hans, but some great
The Holt-Winters method is a popular and effective approach to forecasting seasonal time series. But different implementations will give different forecasts, depending on how the method is initialized and how the smoothing parameters are selected. In this post I will discuss various initialization methods. Suppose the time series is denoted by and the seasonal period
Using Sweave to produce pretty-looking documentation for R is awfully handy. It takes a little tweaking to get set up in Eclipse and StatET though. I followed the information in Jeromy Anglim’s webpage to originally get Sweave set up. The followi...
![Slices and crumbs [arXiv:1011.4722]](http://l.wordpress.com/latex.php?latex=%5Cmathbf%7BJ%7D=(%5Cnabla%5Clog+f(x_1),%5Cldots,%5Cnabla%5Clog+f(x_k))&bg=000000&%23038;fg=B0B0B0&%23038;s=0)
An interesting note was arXived a few days ago by Madeleine Thompson and Radford Neal. Beside the nice touch of mixing crumbs and slices, the neat idea is to have multiple-try proposals for simulating within a slice and to decrease the dimension of the simulation space at each try. This dimension diminution is achieved via 
This is a clip from the forthcoming BBC4 program, The Joy of Stats: The clip shows Hans Rosling (who we've profiled here before), plotting life expectancy versus income for various countries, and animating over time. The clip amply demonstrates that with the right presentation and story, even the simplest of scatterplots can be a joy to behold. I'm looking...
Using StatET’s code generation templates is handy, but the standard Eclipse variable for ${user} just inserts the currently logged-in user’s account name. If you want a different name to appear when ${user} is called, one method is to alter...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
