[R] New Book: Statistical Psychology with R [in French]
yvonnick.noel at uhb.fr
Wed Jan 23 08:56:02 CET 2013
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.
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,
University of Brittany, Rennes
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