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Book Cover
E-book
Author Lê, Sébastien, author

Title Analyzing sensory data with R / Sébastien Lê, Thierry Worch
Published Boca Raton : CRC Press/Taylor & Francis, [2014]
©2015

Copies

Description 1 online resource (xv, 356 pages) : illustrations
Series Chapman & Hall/CRC the R series
Chapman & Hall/CRC the R series (CRC Press)
Contents Front Cover; Contents; Foreword; Preface; Acknowledgments; I. Quantitative descriptive approaches; 1. When panelists rate products according to a single list of attributes; 2. When products are rated according to a single list of attributes; 3. When products are rated according to several lists of attributes; II. Qualitative descriptive approaches; 4. When products are depicted by comments; 5. When two di erent products are compared in various situations; 6. When products are grouped into homogeneous clusters; 7. When products are positioned onto a projective map
III. Affective descriptive approaches8. When products are solely assessed by liking; 9. When products are described by both liking and external information independently -- 10. When products are described by a mix of liking and external information; A. The R survival guide
Summary Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative, and affective approaches, the book presents the big picture of sensory evaluation. Through an integrated approach that connects the different dimensions of sensory evaluation, you'll understand:The reasons why sensory data are collectedThe ways in which the data are collected and analyzedThe intrinsic mea
Bibliography Includes bibliographical references and index
Notes Online resource; title from digital title page (viewed on October 31, 2014)
Subject Sensory evaluation -- Data processing
R (Computer program language)
TECHNOLOGY & ENGINEERING / Food Science.
analyze and interpret sensory data.
quantitative, qualitative, and affective approaches to sensory data analysis.
Sensory Data analysis using R.
Statistical Methods for Sensory Data.
sensory evaluation.
R (Computer program language)
Sensory evaluation -- Data processing
Form Electronic book
Author Worch, Thierry, author
ISBN 9781466565739
146656573X