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The Basics of S and S-PLUS (Statistics and Computing) [Paperback]

Andreas Krause (Author), Melvin Olson (Author)
4.2 out of 5 stars  See all reviews (4 customer reviews)


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The Basics of S-PLUS (Statistics and Computing) The Basics of S-PLUS (Statistics and Computing) 4.1 out of 5 stars (8)
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Book Description

August 7, 1997 0387949852 978-0387949857 1
S-PLUS is a powerful tool for interactive data analysis, creating graphs, and implementing customized routines. Originating as the S language of AT&T Bell Laboratories, its modern language and flexibility make it appealing to data analysts from many scientific fields. This book explains the basics of S-PLUS in a clear style at a level suitable for people with little computing or statistical knowledge. Unlike the S-PLUS manuals, it is not comprehensive, but instead introduces the most important ideas of S-PLUS through the use of many examples. Each chapter also includes a collection of exercises which are accompanied by fully worked-out solutions and detailed comments. The volume is rounded off with practical hints on how efficient work can be performed in S-PLUS. The book is well-suited for self-study and as a textbook.

Product Details

  • Paperback: 242 pages
  • Publisher: Springer; 1 edition (August 7, 1997)
  • Language: English
  • ISBN-10: 0387949852
  • ISBN-13: 978-0387949857
  • Product Dimensions: 9.2 x 6.2 x 1 inches
  • Shipping Weight: 1.2 pounds
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #1,139,001 in Books (See Top 100 in Books)

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Average Customer Review
4.2 out of 5 stars (4 customer reviews)
 
 
 
 
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9 of 9 people found the following review helpful:
5.0 out of 5 stars Excellent introduction to basic Splus., March 5, 2000
This review is from: The Basics of S and S-PLUS (Statistics and Computing) (Paperback)
The Amazon synopsis accurately describes the content and function of this book. Each chapter includes multiple examples of the structure of the syntax and use of Splus functions, and concludes with exploratory exercises (with solutions) to further the chapter theme. I am a graduate student with a modest understanding of statistics and virtually no programming experience. This book enabled me to construct custom bootstrap functions for exploratory data analysis within two days of beginning to learn Splus. This book is more easily read than any other Splus guide I have found, and I would recommend it to anyone using Splus, beginners and experienced users alike.
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7 of 7 people found the following review helpful:
5.0 out of 5 stars The Basics of S and S-Plus: a good starting point., April 18, 2000
By 
Ted Liou (University of Utah) - See all my reviews
This review is from: The Basics of S and S-PLUS (Statistics and Computing) (Paperback)
The book provides a very good working introduction to Splus and programming in S. It is geared towards those who will be using the command line interface. There were enough examples to help me to begin to do fairly complex statistical analysis in just a few hours of starting work with a large database. After 2 years, I still find the examples and tables about graphics helpful.
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6 of 7 people found the following review helpful:
5.0 out of 5 stars Basic S plus for graduate students in statistics, June 28, 2000
This is an excellent text for first time exposure to S plus. As a graduate student in statistics, I found this text to be appropriate and helpful. I found this text to be very readable. I would encourage professors to consider this book as an introductory text. It lacks coverage of old and new style classes but does a nice job covering the graphic capabilities of S plus.
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Inside This Book (learn more)
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Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
graph sheet, trellis graphics, null deviance, trigonometric functions, residual deviance, new graph sheet, geyser data, aov function, barley data, postscript graph, use traceback, eruption length, waiting duration, seq function, minimum waiting time, residual standard error, script window, panel function, data frame, logical vector, barley yield, maximum travel distance
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Object Explorer, Exploring Data, Pop Inflation Area, Windows User Interface, Help Figure, Solutions Solution, Exercises Exercise, Value Std, Grand Rapids, Pop Area Inflation, Cancel Apply, European Countries, Statistical Modeling, Correlation of Coefficients, Multiple R-squared, Graphical Exploration, Commands Window, Second Session, Old Faithful Geyser, New York, Function Description, First Session, Object-Oriented Programming, Data Import, Choose File
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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