A book not mentioned yet is Marc Kery’s “Introduction to WinBUGs for
Ecologists.” Though the focus is on Bayesian stats and WinBUGs, this book has
2 fabulous features
-straight forward ecological examples of all major statistical procedures in R,
from t-tests to GLMMs.
-simulated data is used
Dear Jason et al,
The Use R! Series from Springer is a good collection of books all with the
aim to explain R in a simple and non-too-jargony way. They are short and
not too expensive, here is the website (not only ecology, but you can find
your way to those): http://www.springer.com/series/6991?d
Someone requested that I share a summary of replies to my earlier query about
useful books for learning R, after finishing _R for Dummies_. Here it is:
R. Ben Bolker's "Ecological Models and Data in R" was recommended as a basic
ecology-oriented one.
Bivand's "Applied Spatial Data Analysis with
Dear ecologgers:
I have been working my way through _R for Dummies_, by Andrie de Vries and
Joris Meys. My question is, of all the books out there on R coding, which is
the best one for the next level after R for Dummies, from an ecologist's
perspective?
Jason Hernandez
