Use R!        Bayesian Computation with R (Use R)4 reviews Jim Albert Springer, 2008 more practicality added to Bayesian inference + Excellent book for self-starters + Fantastic Resource Jim Albert is a great teacher and an excellent writer. The R language is becoming one of the most used languages by statistical researchers. This is because it has many similarities to S and can be used freely, Jim makes R easy to learn for statisticians in this book. One of the big ...             The R Book12 reviews Michael J. Crawley Wiley, 2007 Throurough and insightful. + It's about time... + The R Book This book is an excellent introduction to the R language and the statistical theory underlying it. It requires some patience as there is a considerable deal of repetition (the exercises are all very similar but gradually increase in complexity as one progresses from two way anova to generalized ...             Analysis of Integrated and Cointegrated Time Series with R (Use R)3 reviews Bernhard Pfaff Springer, 2005 Excellent Short Book + a user manual for R The UseR! series from Springer aims to be a series of short, focused books on implementation topics using the R statistical environment. Bernard Pfaff does a good job of presenting a good though brief overview that covers ARMA, stationarity, and cointegration. The math is not too heavy for the ...             Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and ...3 reviews Springer, 2005 Book contains many chapters to help get you started I purchased this book to learn specific details and look at applications for the functions present in bioconductor. I have had trouble applying some of the chapters to custom data because they are written for specific microarray/data formats. Overall, this book is a good value because it contains ...             An Introduction to R1 review W. N. Venables, D. M. Smith Network Theory., 2002 Excellent... but you already have it on PDF This is an excellent and brief introduction to R. I don't mind having a printed copy. I don't mind having paid the 13 bucks, if the money raised will support free software development. But... I want to warn people who are thinking about getting it: If you use R you already have it. Select the help ...             An R and S-Plus® Companion to Multivariate Analysis (Springer Texts in Statistics)1 review Brian S. Everitt Springer, 2007 Save your money Not detailed enough to be usefull. One would be better off with a decent book on multivariate methods (e.g. Multivariate Statistics for Wildlife and Ecology Research by McGargail). Code for multivariate methods in R can be found with some effort on the R-project webpage.             Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)23 reviews Robert H. Shumway, David S. Stoffer Springer, 2006 Excellent! + The best of a bad bunch + modern time series with applications + One of the book for your research             Introduction to Statistics Through Resampling Methods and R/S-PLUS1 review Phillip I. Good Wiley-Interscience, 2005 Almost Good Even though the preface reads, "Intended for class use or self-study, this text aspires to introduce statistical methodology to a wide audience, simply and intuitively, through resampling from the data at hand", this book falls short of its goal - it is neither simple enough for those beginning in ...             Linear Models with R (Texts in Statistical Science)9 reviews Julian J. Faraway Chapman & Hall/CRC, 2004 Clear and Concise + "Experts can't live without it" ...? + R- Cryptic, but powerful + Excellent for practice             R Graphics (Computer Science and Data Analysis)6 reviews Paul Murrell Chapman & Hall/CRC, 2005 Solid reference book for a wide audience + Not a how-to or cookbook for R graphics + Must-have for learning of R graphics Unleashing the power of R, particularly its graphing capabilities can be a daunting task. This is a well written book that covers all aspects of R graphics and gives plently of examples (with code). After using R for nearly 3 years now, I learned quite a bit of new information. Plus, the last 2 ...             A Handbook of Statistical Analyses Using R2 reviews Brian S. Everitt, Torsten Hothorn Chapman & Hall/CRC, 2006 covers most important statistical techniques using the R Language + Practical examples of using R for analysis Brian Everett has previously written similar handbooks for SAS and SPlus. As R is becoming the language of choice in statistical computing in research particularly academoc research this book is a welcome addition. This book is actually a great booj on statistical methods and covers most of the ...             Using R for Introductory Statistics6 reviews John Verzani Chapman & Hall/CRC, 2004 best overall introduction to statistics using R + Very complete introduction to statistics and GNU R + Great stater book This book is an excellent introduction to basic statistics, not assuming a knowledge of calculus, using an intuitive "hands-on approach" using the free computer program R. Statistics should be learned with the fingers on a computer, not merely by memorizing formulas, so you do well to learn ...             Interactive and Dynamic Graphics for Data Analysis: With R and GGobi (Use R) Dianne Cook, Deborah F. Swayne Springer, 2007 This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapters include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often starting with brushing linked low-dimensional views and working up to manual manipulation of tours of ...             Statistics: An Introduction using R7 reviews Michael J. Crawley Wiley, 2005 Excellent introduction + Great review of important statistical concepts and intro to R This book is the best I have found for an introduction to the R statistical programming environment. It is also a very good textbook for introductory statistics. The supplemental material at his web site is excellent as well.             Robust Statistical Methods with R1 review Jana Jureckova, Jan Picek Chapman & Hall/CRC, 2005 Little R included This book's table of contents was not available when this review was posted. Because it is often good to check the table of contents before buying a book, here it goes: TABLE OF CONTENTS Mathematical tools of robustness Basic characteristics of robustness Robust estimators of real parameter ...             Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and ...8 reviews John Maindonald, John Braun Cambridge University Press, 2006 Outstanding + data analysis presented through R + Comprehensive and Comprehensible + limited review...             Statistical Analysis and Data Display: An Intermediate Course with Examples in S-PLUS, R, and SAS (Springer ... Richard M. Heiberger, Burt Holland Springer, 2004 This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings—for all the methods they cover. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and ...             Applied Statistics Using SPSS, STATISTICA, MATLAB and R Joaquim P. Marques de Sá Springer, 2007 This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data ...             Introductory Statistics with R18 reviews Peter Dalgaard Springer, 2004 Excellent resource + Good book on how to use R for basic statistical analysis + Fast shipping, good quality. Thanks! + Great for learning the language             Statistical Analysis and Data Display: An Intermediate Course with Examples in S-PLUS, R, and SAS (Springer ... Richard M. Heiberger, Burt Holland Springer, 2004 This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings—for all the methods they cover. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and ...              Kindle - Amazon's New Wireless Reading Device This is the future of book reading. I have used it and love it! randomly chosen tools & hardware: Klein Tools Adjustable Head Construction Wrench, Model# 3239 we recommend covers most important statistical techniques using the R Language leave a comment home  impressum - about us