Download R for StatisticsBy Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lobe

Download R for StatisticsBy Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lobe

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R for StatisticsBy Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lobe

Download R for StatisticsBy Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lobe

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Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples.

Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R.

Focusing on the R software, the first section covers:

• Basic elements of the R software and data processing
• Clear, concise visualization of results, using simple and complex graphs
• Programming basics: pre-defined and user-created functions

The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including:

• Regression methods
• Analyses of variance and covariance
• Classification methods
• Exploratory multivariate analysis
• Clustering methods
• Hypothesis tests

After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist.

Datasets and all the results described in this book are available on the book’s webpage at http://www.agrocampus-ouest.fr/math/RforStat

• Sales Rank: #2125692 in Books
• Brand: Brand: Chapman and Hall/CRC
• Published on: 2012-03-21
• Original language: English
• Number of items: 1
• Dimensions: 9.10" h x .80" w x 6.00" l, .98 pounds
• Binding: Paperback
• 320 pages

Features

• Used Book in Good Condition

Review

Section 4.2 on the apply family of functions and related functions for matrices, arrays, and data frames is by far the most friendly and helpful introduction to the subject that I have seen. … All datasets, along with the R-code in the book, are available on the website for the text. … If you are not a trained programmer but you aspire to write code that is efficient and perhaps, from time to time, clever, then this book is a fine place for you to start learning R.
―Homer S. White, MAA Reviews, January 2013

[T]he book is accessible for statisticians of all levels and areas of expertise as well as for novice and advanced R users. … I recommend it for anyone who wants to learn about the why and how of the most commonly employed statistical methods and their extensions.
―Irina Kukuyeva, Journal of Statistical Software, Vol. 51, November 2012

R for StatisticsBy Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lobe PDF
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R for StatisticsBy Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lobe PDF

R for StatisticsBy Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lobe PDF

R for StatisticsBy Pierre-Andre Cornillon, Arnaud Guyader, Francois Husson, Nicolas Jegou, Julie Josse, Maela Kloareg, Eric Matzner-Lobe PDF

Download Human-Computer Interaction: An Empirical Research PerspectiveBy I. Scott MacKenzie

Download Human-Computer Interaction: An Empirical Research PerspectiveBy I. Scott MacKenzie

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Human-Computer Interaction: An Empirical Research PerspectiveBy I. Scott MacKenzie

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Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics including historical context, the human factor, interaction elements, and the fundamentals of science and research. From there, you'll progress to learning about the methods for conducting an experiment to evaluate a new computer interface or interaction technique. There are detailed discussions and how-to analyses on models of interaction, focusing on descriptive models and predictive models. Writing and publishing a research paper is explored with helpful tips for success. Throughout the book, you'll find hands-on exercises, checklists, and real-world examples. This is your must-have, comprehensive guide to empirical and experimental research in HCI―an essential addition to your HCI library.

• Master empirical and experimental research with this comprehensive, A-to-Z guide in a concise, hands-on reference
• Discover the practical and theoretical ins-and-outs of user studies
• Find exercises, takeaway points, and case studies throughout

• Sales Rank: #791772 in Books
• Brand: Brand: Morgan Kaufmann
• Published on: 2013-01-25
• Released on: 2013-01-11
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .84" w x 7.50" l, 1.40 pounds
• Binding: Paperback
• 370 pages

Features

• Used Book in Good Condition

Review

"One could easily imagine it being titled An introduction to empirical research in HCI. That is its strength, and there it shines. The book is relatively short but packed with information; features tight but lively writing; and is thoughtfully illustrated and amply sourced…For those wishing to learn more about HCI through (publishable) experiments, this is a fantastic introduction." --ComputingReviews.com, December 2013

"Human-computer interactions (HCI) is an ever more important subject for study as computers become ever faster, smaller, and more integrated into daily life. MacKenzie …emphasizes the performance of research into HCI in this work intended for the working scientist…Each chapter concludes with student exercises and there is a supplementary website that contains software source code, several statistical applications, and packages for experiments in HCI." --Reference & Research Book News, December 2013

"This is intended to be a textbook specifically for use in teaching the topic at a degree level, and it achieves that aim in no small measure…The text is clear, slightly conversational and offers a refreshing look at the field of study…The book contains a number of interesting case studies designed to illustrate the various issues, and it also contains some questionnaires and other example material, all designed to make the reader query how and why they do things." --BCS.org, November 2013

"Scott McKenzie is one of the most thoughtful, thorough, authoritative, and careful HCI researchers I know.  This book puts his experience, insights, and wisdom into a highly accessible, practical, and user-friendly form.  It ties general notions in user interface design to solid scientific concepts and experimental procedures, and it teaches readers how to perform them for themselves.  And it even concludes with a chapter on how to write a research paper -- useful advice, but rarely found in such a book." --Robert J.K. Jacob, Department of Computer Science, Tufts University

From the Back Cover

Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI. The book begins with foundational topics including an historical context, the human factor, interaction elements, and the fundamentals of science and research. From there, you’ll progress to learning about the methods for conducting an experiment to evaluate a new computer interface or interaction technique. There are detailed discussions and how-to analyses on models of interaction, focusing on descriptive models and predictive models. Writing and publishing a research paper is explored with helpful tips for success. Throughout the book, you’ll find hands-on exercises, checklists, and real-world examples. This is your must-have, comprehensive guide to empirical and experimental research in HCI – an essential addition to your HCI library.

About the Author
I. Scott MacKenzie is Associate Professor of Computer Science and Engineering at York University, Canada. For the past 25 years, MacKenzie has been an active member of the HCI research community, with over 130 peer-reviewed publications (including more than 30 papers in the ACM SIGCHI conference proceedings). MacKenzie’s interests include human performance measurement and modeling, interaction devices and techniques, text entry, mobile computing, accessible computing, touch-based interaction, eye tracking, and experimental methodology.

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