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?detailsPage=titles
Good luck! Stef On Tue, May 10, 2016 at 6:34 PM, Jason Hernandez < [email protected]> wrote: > 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 R" is more spatially > oriented, as is the more recent Brunsdon's "An Introduction to R for > Spatial Analysis and Mapping". > > A masters' stats class used "getting started with R, An introduction for > biologists", by Beckerman and Petchey. > > Another educator recommended the R for Ecologists website at Montana State > University: http://ecology.msu.montana.edu/labdsv/R/labs/R_ecology.html. > Another online resource is the R Inferno. Another is "R for Starters," by > Ole Forsberg: http://www.rfs.kvasaheim.com/ > > "How to be a Quantitative Ecologist" by Jason Matthiopoulos was another > recommendation. Also "Community Ecology: Analytical Methods using R and > Excel" by Mark Gardener. "Biostatistical Design and Analyses Using R" by > Murray Logan. > > At least two users suggested Zuur, A., Ieno, E. N., Walker, N., Saveliev, > A. A., and Smith, G. M., 2009. "Mixed effects models and extensions in > ecology with R," especially for mixed effects models including time > series, glms, and analysis of overdispersed and zero inflated data. > > Now I just need to decide which one to go with. No way can I afford all > the books, so it looks like I'll be starting with the online resources. > > Jason Hernandez > > -- Stefanie Broszeit
