The Basics of S and S-PLUS PDF Download
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Author: Andreas Krause
Publisher: Springer Science & Business Media
ISBN: 0387227091
Category : Computers
Languages : en
Pages : 395
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Book Description
A lucid explanation of the basics of S-PLUS at a level suitable for users with little computing or statistical knowledge. Unlike the S-PLUS manuals, the book does not strive to be comprehensive, but instead introduces the most important ideas of S-PLUS through the use of many examples. Each chapter includes a collection of exercises that are accompanied by fully worked-out solutions and detailed comments, and the whole is rounded off with practical hints on how to work efficiently in S-PLUS, making it well-suited for both self-study and as a textbook. This second edition has been updated to incorporate the completely revised S Language and its implementation in S-PLUS, while new chapters have been added to explain the Windows GUI, how to explore relationships in data using the powerful Trellis graphics system, and how to understand and use object-oriented programming. In addition, the programming chapter has been extended to cover some of the more technical but important aspects of S-PLUS.
Author: Andreas Krause
Publisher: Springer Science & Business Media
ISBN: 0387227091
Category : Computers
Languages : en
Pages : 395
Get Book Here
Book Description
A lucid explanation of the basics of S-PLUS at a level suitable for users with little computing or statistical knowledge. Unlike the S-PLUS manuals, the book does not strive to be comprehensive, but instead introduces the most important ideas of S-PLUS through the use of many examples. Each chapter includes a collection of exercises that are accompanied by fully worked-out solutions and detailed comments, and the whole is rounded off with practical hints on how to work efficiently in S-PLUS, making it well-suited for both self-study and as a textbook. This second edition has been updated to incorporate the completely revised S Language and its implementation in S-PLUS, while new chapters have been added to explain the Windows GUI, how to explore relationships in data using the powerful Trellis graphics system, and how to understand and use object-oriented programming. In addition, the programming chapter has been extended to cover some of the more technical but important aspects of S-PLUS.
Author: Andreas Krause
Publisher: Springer Science & Business Media
ISBN: 9780387261096
Category : Computers
Languages : en
Pages : 480
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Book Description
Proven bestseller: almost 6000 copies sold in the U.S. in two editions New edition updated to cover S-PLUS 6.0 Can be used as an introduction to R, as well as S-PLUS New exercises have been added; Includes a comparison of S-PLUS and R Well-suited for self-study
Author: Andreas Krause
Publisher: Springer Science & Business Media
ISBN: 0387227083
Category : Computers
Languages : en
Pages : 432
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Book Description
In a clear style the most important ideas of S-PLUS are introduced through the use of many examples. Each chapter includes a collection of exercises, fully worked-out solutions and detailed comments.
Author: José C. Pinheiro
Publisher: Springer Science & Business Media
ISBN: 1441903178
Category : Computers
Languages : en
Pages : 538
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Book Description
R, linear models, random, fixed, data, analysis, fit.
Author: Eric Zivot
Publisher: Springer Science & Business Media
ISBN: 0387323481
Category : Business & Economics
Languages : en
Pages : 998
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Book Description
This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. It is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This edition covers S+FinMetrics 2.0 and includes new chapters.
Author: Phil Spector
Publisher: Cengage Learning
ISBN: 9780534198664
Category : S (Computer program language)
Languages : en
Pages : 0
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Book Description
To encourage effective self-study and hands-on experimentation, the author accompanies his presentation of every concept with an example, either using data sets that are distributed with S or easily created from them. It should not be necessary to enter any data to recreate the examples in the book.
Author: W.N. Venables
Publisher: Springer Science & Business Media
ISBN: 9780387954578
Category : Mathematics
Languages : en
Pages : 518
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Book Description
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.
Author: John Fox
Publisher: SAGE
ISBN: 9780761922803
Category : Mathematics
Languages : en
Pages : 332
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Book Description
"This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language, yet accessible enough to assign to social science graduate students without fear of intimidation. It is a tremendous balance of applied statistical "firepower" and thoughtful explanation. It meets all of the important mechanical needs: each example is given in detail, code and data are freely available, and the nuances of models are given rather than just the bare essentials. It also meets some important theoretical needs: linear models, categorical data analysis, an introduction to applying GLMs, a discussion of model diagnostics, and useful instructions on writing customized functions. " —JEFF GILL, University of Florida, Gainesville
Author: Sydney S. Traum
Publisher: Wolters Kluwer
ISBN: 0735581517
Category : Law
Languages : en
Pages : 824
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Book Description
This quick-reference manual lets you help clients take full advantage of their S corporation status and minimize their taxes. it leads you directly to authoritative information on every aspect of the S corporation, enabling you to: Arm the S corporation against the potential tax traps hidden in the Small Business Tax Protection Act. Maximize the tax benefits of S corporation status. Make a qualified Subchapter S Subsidiary (QSub) election. Identify dispositions that will trigger the built-in gains tax. Avoid added tax liability or loss of S corporation status from passive investment income. Capitalize on the permissible differences in stock rights to facilitate estate planning and ownership transfers. Determine allocation of income, losses, and deductions in the termination year of the S corporation . Plus, there are citations To The controlling rules, regulations, and court decisions that will save you hours of research.
Author: William N. Venables
Publisher: Springer Science & Business Media
ISBN: 1475727194
Category : Mathematics
Languages : en
Pages : 562
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Book Description
A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.
