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Wavelet methods in statistics with R
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G. P. Nason |
"Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing… |
OL13763198W |
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Applied statistical genetics with R
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Andrea S. Foulkes |
"The vast array of molecular level information now available presents exciting opportunities to characterize the genetic underpinnings of complex diseases while discovering novel biological pathways … |
OL15083627W |
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The art of R programming
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Norman S. Matloff |
An introduction to the R language for statistical and data-science programming. |
OL16116942W |
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Statistics and data analysis for microarrays using R and Bioconductor
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Sorin Drăghici |
"Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algor… |
OL16190860W |
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R in a nutshell
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Joseph Adler,Adler, Joseph M.Eng |
Presents a guide to the R computer language, covering such topics as the user interface, packages, syntax, objects, functions, object-oriented programming, data sets, lattice graphics, regression mod… |
OL16266318W |
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Programming graphical user interfaces with R
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Michael Lawrence |
"Preface About this book Two common types of user interfaces in statistical computing are the command line interface (CLI) and the graphical user interface (GUI). The usual CLI consists of a textual … |
OL16654041W |
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A handbook of statistical analyses using R
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Brian Everitt |
This book presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster a… |
OL1687735W |
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Dynamic Linear Models with R
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Patrizia Campagnoli |
State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space model… |
OL16925703W |
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Mixed effects models and extensions in ecology with R
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Alain F. Zuur |
"In this book the authors provide an expanded introduction to using regression and its extensions in analysing ecological data. The first part of the book is a largely non-mathematical introduction t… |
OL16942280W |
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Nonlinear Regression With R
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Jens Carl Streibig |
R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regressio… |
OL17407296W |
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Bioconductor case studies
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Wolfgang Huber,Robert Gentleman |
Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in cont… |
OL18689362W |
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Advanced R
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Hadley Wickham |
Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, … |
OL20126008W |
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Extending R
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John M. Chambers |
Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core idea… |
OL20126009W |
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Statistical Analysis with R For Dummies
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Joseph Schmuller |
xiii, 438 pages : 24 cm |
OL20771797W |
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Growth curve analysis and visualization using R
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Daniel Mirman |
"Accessible to quantitative psychology researchers, this book introduces growth curve analysis (GCA) methods for applications in the behavioral sciences. It introduces the challenges involved with th… |
OL23333932W |
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R graphs cookbook
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Hrishi V. Mittal |
Detailed hands-on recipes for creating the most useful types of graphs in R - starting from the simplest versions to more advanced applications. |
OL26197420W |
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Learning Bayesian models with R
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Hari M. Koduvely |
Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems About This Book Understand the principles of Bayesian Inference with less mathematic… |
OL27697389W |
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The R book
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Michael J. Crawley |
The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statisti… |
OL4311119W |
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Integrierte Bipolarschaltungen
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Hans-Martin Rein |
A Modern Approach to Regression with R focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it ma… |
OL6419877W |
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Introductory Statistics with R
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Peter Dalgaard |
R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for prac… |
OL8059044W |