S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It is intended for readers who have some acquaintance with the S language and want to know how to use it more effectively, for example to build re-usable tools for streamlining routine data analysis or to implement new statistical methods. One of the outstanding strengths of the S language is the ease with which it can be extended by users. S is a functional language, and functions written by users are first-class objects treated in the same way as functions provided by the system. S code is eminently readable and so a good way to document precisely what algorithms were used, and as much of the implementations are themselves written in S, they can be studied as models and to understand their subtleties. The current implementations also provide easy ways for S functions to call compiled code written in C, Fortran and similar languages; this is documented here in depth. Increasingly S is being used for statistical or graphical analysis within larger software systems or for whole vertical-market applications. The interface facilities are most developed on Windows® and these are covered with worked examples. The authors have written the widely used Modern Applied Statistics with S-PLUS, now in its third edition, and several software libraries that enhance S-PLUS and R; these and the examples used in both books are available on the Internet. Dr. W.N. Venables is a senior Statistician with the CSIRO/CMIS Environmetrics Project in Australia, having been at the Department of Statistics, University of Adelaide for many years previously. Professor B.D. Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition and neural networks. Both authors are known and respected throughout the international S and R communities, for their books, workshops, short courses, freely available software and through their extensive contributions to the S-news and R mailing lists.
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
The study of spatial processes and their applications is an important topic in statistics and finds wide application particularly in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing an introduction to the subject and to its applications. One of the themes of the book is the demonstration of how these techniques give new insights into classical procedures (including new examples in likelihood theory) and newer statistical paradigms such as Monte-Carlo inference and pseudo-likelihood. Professor Ripley also stresses the importance of edge effects and of lack of a unique asymptotic setting in spatial problems. Throughout, the author discusses the foundational issues posed and the difficulties, both computational and philosophical, which arise. The final chapters consider image restoration and segmentation methods and the averaging and summarising of images. Thus, the book will find wide appeal to researchers in computer vision, image processing, and those applying microscopy in biology, geology and materials science, as well as to statisticians interested in the foundations of their discipline.
This best-selling guide has been completely updated to present the newest features of S-PLUS 5.0, and includes the very latest computationally-intensive methods and techniques. In addition, extensive software libraries, data sets, and complements will be available online. "the task the authors have undertaken is challenginggetting new S/S-Plus users to quickly learn the fundamentals of the language and presenting a modern approach to data analysis through numerous examples from many areas of statistics. They succeed in this" TECHNOMETRICS
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
A guide to using S-Plus to perform statistical analyses, serving as both an introduction to the use of S-Plus and as a course in modern statistical methods. The experienced authors show how to use S-Plus as a powerful and graphical system, with the emphasis on presenting practical problems and full analyses of real data sets throughout. A basic grounding in statistics is assumed, making this book suitable for would-be users of S-Plus, as well as students and researchers using statistics.
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It is intended for readers who have some acquaintance with the S language and want to know how to use it more effectively, for example to build re-usable tools for streamlining routine data analysis or to implement new statistical methods. One of the outstanding strengths of the S language is the ease with which it can be extended by users. S is a functional language, and functions written by users are first-class objects treated in the same way as functions provided by the system. S code is eminently readable and so a good way to document precisely what algorithms were used, and as much of the implementations are themselves written in S, they can be studied as models and to understand their subtleties. The current implementations also provide easy ways for S functions to call compiled code written in C, Fortran and similar languages; this is documented here in depth. Increasingly S is being used for statistical or graphical analysis within larger software systems or for whole vertical-market applications. The interface facilities are most developed on Windows® and these are covered with worked examples. The authors have written the widely used Modern Applied Statistics with S-PLUS, now in its third edition, and several software libraries that enhance S-PLUS and R; these and the examples used in both books are available on the Internet. Dr. W.N. Venables is a senior Statistician with the CSIRO/CMIS Environmetrics Project in Australia, having been at the Department of Statistics, University of Adelaide for many years previously. Professor B.D. Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition and neural networks. Both authors are known and respected throughout the international S and R communities, for their books, workshops, short courses, freely available software and through their extensive contributions to the S-news and R mailing lists.
The study of spatial processes and their applications is an important topic in statistics and finds wide application particularly in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing an introduction to the subject and to its applications. One of the themes of the book is the demonstration of how these techniques give new insights into classical procedures (including new examples in likelihood theory) and newer statistical paradigms such as Monte-Carlo inference and pseudo-likelihood. Professor Ripley also stresses the importance of edge effects and of lack of a unique asymptotic setting in spatial problems. Throughout, the author discusses the foundational issues posed and the difficulties, both computational and philosophical, which arise. The final chapters consider image restoration and segmentation methods and the averaging and summarising of images. Thus, the book will find wide appeal to researchers in computer vision, image processing, and those applying microscopy in biology, geology and materials science, as well as to statisticians interested in the foundations of their discipline.
A fast-paced noir thriller. The Ice Maiden deserves a spot at the top of your reading list." -Best Thrillers Get ready for a pulse-pounding thrill ride that will leave you gasping for breath! The Ice Maiden, the first book in the Doug Bateman Thrillers series, is a must-read for fans of gripping thrillers. Maine State Police detective, Doug Bateman, is struggling to keep his life together after the death of his son and the unraveling of his marriage. But when a mutilated corpse is discovered in the local lake, he sees a chance for redemption. Teaming up with a talented new deputy from the Sheriff's office, Bateman throws himself into the investigation, only to discover that the killer is playing a twisted game with them. As the body count rises and Bateman's relationship with his colleague heats up, he must race against time to catch the ruthless killer before he claims more innocent lives. With its authentic setting, unexpected romance, and spine-tingling thrills, The Ice Maiden will keep you guessing until the very end. If you love fast-paced police procedurals with complex characters and a heart-pumping plot, then you won't want to miss this crime thriller by B.D. Smith. Order your copy now and discover why critics are raving about The Ice Maiden!
The book aims to provide a review of the current status of knowledge on the subject of malaria especially from the perspective of affected countries. This fourth edition has been extensively updated to present in depth knowledge for not only the clinicians.But also teachers, General practitioners and undergraduate and postgraduate medical students.
Some called her “Crazy Beth”, others called her the “Myth of Amherst,” and some called her simply a gifted genius. She was stunning and intelligent and was ahead of her time when it came to advocating change for society regarding women’s rights and minorities’ equality. Who is the girl behind the poetry? Why were so many of Emily Dickinson’s 1,800+ poems about death? What was the true meaning behind her cryptic poems? Who were the Master poems written to? Join B. D. Watson as she welcomes her debut novel, Darkly Dickinson: The Untold Story of Poet Emily Elizabeth Dickinson, revealing all the mysteries that wrap around the most loved and read literary genius of all time. Darkly Dickinson will walk you through the life of poet Emily Dickinson from her childhood abuse to her teenage years of being bullied by her teachers and classmates, and then to her college years at Mount Holyoke when she was grabbed out of her bed to be a part of sinister acts performed by the girls who taught her how to dabble in witchcraft, and finally to her adult years with her cat-and-mouse chases with men. Darkly Dickinson will take you through the heartbreaking deaths of all her loved ones including her romantic interests, and finally you will be led to Dickinson’s mental breakdown that led to her isolation from society for over 30 years. Read Darkly Dickinson and you decide for yourself, was ‘it’ fact or fiction? Were her imaginary friends demons or simply a figment of her imagination? Be prepared for an immense amount of pulled heartstrings, leaving you begging for more.
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