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R for Cloud Computing
Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book.New... Læs mere
This book introduces R using SAS and SPSS terms with which you are already familiar. The programs and practice datasets are available for download.The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon.
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages.
and the building of the Three “M’s” Maple, Mathematica and Matlab.We intend to persuade that Mathematica and other similar tools are... Læs mere
This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. In Part III, the authors address the... Læs mere
When finished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic... Læs mere
Issues of numerical stability, accurate approximation, computational complexity, and mathematical modeling share the limelight in a broad yet rigorous overview of those parts of numerical analysis most relevant to statisticians.
John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award.
This book introduces applied wavelet analysis through the S-PLUS software system. In addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered.
Eine Anleitung zur kostenlosen Installation von RExcel sowie praktische Tipps zur Nutzung vervollständigen dieses Buch.Die Nutzung von RExcel wird auf der Basis der beiden Excel-Versionen 2003 und 2007 dargestellt.