The R Software: Fundamentals of Programming and Statistical Analysis (Statistics and Computing, 40, Band 40)
Fundamentals of Programming and Statistical Analysis
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"The R Software: Fundamentals of Programming and Statistical Analysis" von Benoit Liquet ist ein umfassendes Werk, das sich mit den Grundlagen der Programmierung und statistischen Analyse in der R-Software befasst. Das Buch ist Teil der "Statistics and Computing"-Reihe und bietet eine Einführung in die Nutzung von R für statistische Zwecke. Es behandelt wesentliche Themen wie Datenmanipulation, Visualisierungstechniken und grundlegende statistische Methoden. Darüber hinaus werden fortgeschrittene Programmierkonzepte und spezifische Anwendungen im Bereich der Statistik erläutert. Das Buch richtet sich sowohl an Anfänger als auch an Fortgeschrittene, die ihre Kenntnisse in R vertiefen möchten, und bietet praktische Beispiele sowie Übungen zur Vertiefung des Gelernten.
Pierre Lafaye de Micheaux is a Canadian-French-Swiss researcher, Adjunct Associate Professor at Université de Montréal (Canada) and Associate Professor at Grenoble University (France). In 2013-14, he is a Senior Visiting Fellow to the Department of Statistics and also to the School of Psychiatry of the University of New South Wales (Sydney, Australia). His main research interests are: Asymptotics, Biostatistics, Bootstrap, Complex random variables, Developing R packages, Hypothesis testing theory, Independent Component Analysis, Multiple testing and Sample size determination, Multivariate statistics, Neuroscience, Reproducible research, Time series analysis. Pierre is an experienced user of Linux and R since 1998 and the co-author of several R packages available on the CRAN.Rémy Drouilhet is a lecturer at Grenoble University, Pierre Mendès France. He has worked on the spectral behavior of fractional Brownian motion, and particularly on the estimation of its spectral density. Rémy has contributed to spatial point processes through the research group he formed with Jean Michel Billot and Etienne Bertin. Over the 7 years of their intense collaboration, they have obtained many results concerning existence, unicity and percolation in the framework of spatial point processes based on nearest neighbor interactions. Rémy now works with the FIGAL team on issues of reliability. He is an experienced user and developer of R which he uses both in his research and in his teaching.Benoit Liquet obtained his PhD in Biostatistics and his research first focused on model selection approach applied to biomedical studies. He has researched and taught at INSERM (French National Institute of Health) and the Universities of Montpellier and Bordeaux. Recently, Benoit has worked on the analysis of omics data in the context of HIV vaccine studies. He spent six months (during his sabbatical leave in 2011/2012) working full time at the Queensland Facility for Advanced Bioinformatics (QFAB), based at the University of Queensland, to develop novel methodologies within this context. Benoit finished his sabbatical leave in the MRC (medical research council) BSU (Biostatistics Unit) in Cambridge on Bayesian variable selection methods for high dimensional data. He is presently working as Senior Investigator Statistician at the MRC BSU. He is an enthusiastic user and developer of R.
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