Data Mining Applications with R A book to be published by Elsevier http://www.RDataMining.com/books/book2 Proposal Submission Deadline: April 30, 2012 Introduction R is one of the most widely used data mining tools in scientific and business applications, among dozens of commercial … Continue reading →
This R code draws individual growth plots as shown in “Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence” by Judith D. Singer and John B. Willett, an excellent book on multilevel modeling and survival analysis. This c...
First off let me thank folks for all the comments and suggestions. I’m just starting to explore this data so perhaps I should explain how I go about doing this. First off, I am looking for a global bias in the record from UHI. It is well known that you can look through the data 
With BerkeleyEarth 1.6 posted to CRAN I figured it was time to do some sample programs to explain how the package worked and integrated with other packages. Also, I have some issues to check out with the metadata; and in the long run I want to reformulate my metadata package to include some new resources. 
By Yanchang zhao, RDataMining.com Building prediction/classification models is one of the most widely-seen data mining tasks in business applications. To share experience on building prediction models with R, I have started a discussion at RDataMining group on LinkedIn with the … Continue reading →
Monday, March 05, 2012 14h-16h N4/17 Stewart Biology Building, McGill University Prof. Bill Shipley from Université de Sherbrooke Topics Structural equation modelling Graphical models for understanding causal analysis Testing for goodness of fit...
Version 1.6 has just been submitted to CRAN and I will post the source here in the dropbox. Version 1.6 will probably be stable for a long time unless I find a bug. The main additions I made were adding a few functions to make some things easier, and I converted two files–flags and sources– 
For those who have not read the seminal works of Tufte and Cleveland, please hang your heads in shame. To salvage some sense of self-worth, you can then head over to Solomon Messing’s blog where he is starting a series on data visualization based on ...
With my growing interest in R it was inevitable that I would end up writing a parser for it. The fact that the language is relatively small (the add-on packages do the serious work) hastened the event because it did not look like much work; famous last words. I knew about R’s design and implementation
Yesterday I found out about ‘mplayer’, which is a movie/music player for Unix that can be completely controlled from the terminal (http://www.mplayerhq.hu/). I started playing around with it while at the same time learning R5 objects. The result, a music … Continue reading →
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
