The Basics Of S Plus Krause Andreas Olson Melvin can be very useful guide, and the basics of s plus krause andreas olson melvin play an important role in your products. A collection of exercises summarizes the main ideas of each chapter. The book is about getting familiar with the kinds of things you can do with S-Plus. This gives an idea of the popularity of the book. This update has considerably fewer changes.
If you own a first or second edition of this book, I recommend updating to the fourth edition. The basic structure of the book remains the same. It is suitable for people with little computing knowledge and basic understanding of statistical data analysis. If you want to learn S+, this book is essential. For R users the book does include a chapter to discuss the differences.
The comparable public domain software R receives a separate coverage as an introduction to R. Now I use R, but still find most of it applicable and I refer to it regularly. The comparable public domain software R receives a separate coverage as an introduction to R. This gives an idea of the popularity of the book. Over the last editions, the book has been updated to cover important changes like the inclusion of S Language Version 4, Trellis graphics, a graphical user interface, and many useful tips and tricks. If you own a first or second edition of this book, I recommend updating to the fourth edition. It is suitable for people with little computing knowledge and basic understanding of statistical data analysis.
The problem is that once you have gotten your nifty new product, the the basics of s plus krause andreas olson melvin gets a brief glance, maybe a once over, but it often tends to get discarded or lost with the original packaging. . I particularly like the chapter 2, Graphical User Interface, which is written in almost step-by-step manner and includes more than 50 screen dumps. Each chapter also includes a collection of exercises that are accompanied by fully worked-out solutions and detailed comments. The great strengths of this book are its great clarity, its realistic and useful examples, and most importantly, its scope.
After mastering the techniques in this book, I'm ready to progress, but it still is the first book I consult when faced with an S problem. It is well suited for self-study and may be considered as a text book for S-Plus statistical computing. If the reader carefully goes through this book, he will acquire substantial knowledge in S-Plus data analysis. Ghosh, Sankhya: The Indian Journal of Statistics, Vol. The book is well suited for self-study and as a textbook. The book is well-suited for self-study and as a textbook. I love this book and used it a lot in grad school when I actually used S-Plus.
But the new edition covers the S-Plus version 6 for Unix and Windows. All the while, the book avoids the overwhelming complexities typical of a software manual, and the few, well-thought-out exercises with careful solutions at the end of each chapter supply the motivation to explore more advanced topics. I really wish the authors would write the exact same book for R because it would fill in some of the differences between the two programs that I now have to figure out on my own, and, more importantly, it would provide a much needed, succinct, easy-to-use and understand introduction to R text. But the new edition covers the S-Plus version 6 for Unix and Windows. The basic structure of the book remains the same.
La ventaja de este libro es que además de la explicación en detalle del S-Plus, también se tratan, sin excesiva profundidad, diferentes técnicas estadísticas. Bottom line: excelent book for those wishing to move from another statistical environment to S-Plus. Overall presentation in this book is good and this book is ideal for a quick basic introduction to S-Plus. The pace is gentle and very easy to follow. This text will not teach you everything you need to know about S and S+. Carlos Ortega 2006-01-30 This book has proven the difference between not being able to use my new S-Plus license and beginning to feel that I am on my way to master it. This update has considerably fewer changes.
If the reader carefully goes through this book, he will acquire substantial knowledge in S-Plus data analysis. The exercises are accompanied by solutions that are worked out in full detail, and the code is ready to use and to be modified. Register a Free 1 month Trial Account. The authors take the reader on a journey into the world of interactive computing, data exploration, and statistical analysis. New chapters have been added to explain how to work with the graphical user interface of the Windows version, how to explore relationships in data using the powerful Trellis graphics system, and how to understand and use object-oriented programming. El libro cubre los aspectos fundamentales del lenguaje S-Plus: vectores, listas, lógica de control, gráficos, etc. The book is clearly written, has many examples and exercises and has enabled me a total alien to S-Plus until a month ago to be able to start doing some useful analysis and data exploration.
It is well suited for self-study and may be considered as a text book for S-Plus statistical computing. Ghosh, Sankhya: The Indian Journal of Statistics, Vol. It is not intended to teach you statistics or linear algebra it is assumed that you know at least the elementary stuff about data analysis , but it will certainly teach you how to use most features of the S-Plus system, both through the graphics interface and using the command-line interface, which is more powerful. . . .