This site started as my shoebox for useful code and data analysis scribbles, ranging from simple issues creating problems for newbies to more obscure pieces of code. I later expanded the site to include photos and sounds (grouped under jetsam), nothing spectacular but I enjoy recording the world around (there is life beyond stats and coding).
Quantum Forest is not an ‘R blog’, although R is the main vehicle that I use for data analysis. Other tools appear here, including Python, ASReml, SAS 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. I like the intrinsic beauty of mathematics; the fact that it is a useful discipline is a secondary consideration.
I welcome constructive comments that directly relate to my posts. Spam, comment bots, unrelated comments, ‘just because I think so’ writings and personal attacks are deleted.
These posts have some rights reserved. You can get an idea of my potential conflicting interests and biases reading the about page of my main site. I work at the School of Forestry, University of Canterbury but these posts do not represent the views of my past, present or future employers, family members or pets (my cats don’t like statistics and my dog will trade R for a bone any day).