Dear M. Noel:
You may know that there is a list of books on the R web site
(www.r-project.org -> "books": www.r-project.org/doc/bib/R-books.html).
I'm not sure what you should do to get this book listed there. If no
one else suggests what to do, you might wish to write to Frau Palege in
the Institut für Statistik und Mathematik, Wirtschaftsuniversität Wien,
[email protected]. If she does not handle this, she might be able
to find someone who does.
Best Wishes,
Spencer
On 1/22/2013 11:56 PM, Yvonnick Noel wrote:
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
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PLEASE do read the posting guide
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--
Spencer Graves, PE, PhD
President and Chief Technology Officer
Structure Inspection and Monitoring, Inc.
751 Emerson Ct.
San José, CA 95126
ph: 408-655-4567
web: www.structuremonitoring.com
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
