“Statistics with R” is a great R graphics & stats website. It provides lots of R examples, covering many analytics topics. It is also available as a PDF document to download at the website, as well as the R codes. … Continue reading →

The important criterion for a graph is not simply how fast we can see a result; rather it is whether through the use of the graph we can see something that would have been harder to see otherwise or that could not have been seen at all. – William Cleveland, The Elements of Graphing Data, Related posts:

I was recently asked by a R user about how one could extract the “rule” in a classification/regression tree. The requirement was to obtain the path traced from the root node to the leaf nodes and obtain all the paths or “rules” path.rpart() function in the mvpart package provides this convenience library(mvpart) # Create a

This post is somewhat marginal to R in that there are several statistical systems that could be used to tackle the problem. Bayesian statistics is one of those topics that I would like to understand better, much better, in fact. … Continue reading →

Hi! My fellow useRs! I’m making a web-based R Language platform ( http://cloudst.at/ ) for my students. My aim is to decrease the learning curve of learning R and collaboration. With CloudStat, there is no more download, installation, update and mai...