[R] New Book: Statistical Psychology with R [in French]

[Yvonnick Noel]

Dear useRs,

French reading people among you might be interested by the following book:

Noel, Y. (2013). Psychologie statistique avec R [Statistical psychology 
with R, in French], coll. PratiqueR, Paris: Springer. 
http://www.springer.com/psychology/book/978-2-8178-0424-8

This book provides a detailed presentation of all basics of statistical 
inference for psychologists, both in a fisherian and a bayesian 
approach. Although many authors have recently advocated for the use of 
bayesian statistics in psychology (Wagenmaker et al., 2010, 2011 ; 
Kruschke, 2010 ; Rouder et al., 2009) statistical manuals for 
psychologists barely mention them. This manual provides a full bayesian 
toolbox for commonly encountered problems in psychology and social 
sciences, for comparing proportions, variances and means, and discusses 
the advantages. But all foundations of the frequentist approach are also 
provided, from data description to probability and density, through 
combinatorics and set algebra.

A special emphasis has been put on the analysis of categorical data and 
contingency tables. Binomial and multinomial models with beta and 
Dirichlet priors are presented, and their use for making (between rows 
or between cells) contrasts in contingency tables is detailed on real 
data. An automatic search of the best model for all problem types is 
implemented in the AtelieR package, available on CRAN.

Bayesian ANOVA is also presented, and illustrated on real data with the 
help of the AtelieR and R2STATS packages (a GUI for GLM and GLMM in R). 
In addition to classical and Bayesian inference on means, direct and 
Bayesian inference on effect size and standardized effects are presented.

I hope you might find this book useful,

Best regards,

Yvonnick Noel
University of Brittany, Rennes
France