Dear members, 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 _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
