Quantum Forest is written and published by Luis Apiolaza (@zentree). I work at the School of Forestry, University of Canterbury in Christchurch, New Zealand (the land of the long white cloud, the Lord of the Rings and R).

This site is the shoebox where I keep scribbles for code and data analysis examples that I find useful. These scribbles range from simple issues that create problems for newbies (and I include myself there) to more complex or obscure pieces of code. Mainly, I write here to avoid recreating the same pieces of code all over again. In addition, I work with undergrad and postgrad students in small (and not so small) research projects, and I can point them to this site for help with their analyses.

Quantum Forest is not an ‘R blog’, although R is the main vehicle that I use for data analysis. Eventually other tools will appear here, including Python, ASReml, Stata and any other thing that I may use from time to time. I also have quotes and notes from books that I find particularly helpful to understand data analysis.

Incidentally, I am not a statistician but—depending on my mood—am a forester, a quantitative forester (term that I lifted from Oscar), a quantitative geneticist or (if I want to sound suave and trendy) a statistical geneticist. At least in spirit, I consider myself a Miskatonic University alumnus and consider this paper as a strong credential for this statement.

Newton and me with our new copy of Doing Bayesian Data Analysis (2011-12-13). Newton digs the cover. (Photo by Orlando)

To be perfectly clear, these posts do not represent the views of my past, present or future employers, family members nor pets (my cats don’t like statistics and my dog will trade R for a bone any day). These posts have some rights reserved.