Analyzing Sensory Data with R - Sebastien Le, Thierry Worch

Analyzing Sensory Data with R

Buch | Hardcover
374 Seiten
2014
Crc Press Inc (Verlag)
978-1-4665-6572-2 (ISBN)
137,15 inkl. MwSt
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 collected
The ways in which the data are collected and analyzed
The intrinsic meaning of the data
The interpretation of the data analysis results

Each chapter corresponds to one main sensory topic. The chapters start with presenting the nature of the sensory evaluation and its objectives, the sensory particularities related to the sensory evaluation, details about the data set obtained, and the statistical analyses required. Using real examples, the authors then illustrate step by step how the analyses are performed in R. The chapters conclude with variants and extensions of the methods that are related to the sensory task itself, the statistical methodology, or both.

Sebastien Le, Thierry Worch

Quantitative Descriptive Approaches: When panelists rate products according to one single list of attributes. When products are rated according to one single list of attributes. When products are rated according to several lists of attributes. Qualitative Descriptive Approaches: When products are depicted by comments. When two different products are put in various experimental contexts. When products are grouped into homogeneous clusters. When products are positioned onto a projective map. Affective Descriptive Approaches: When products are solely assessed by liking. When products are described by both liking and external information "independently." When products are described by a mix of liking and external information. Appendices. Index.

Reihe/Serie Chapman & Hall/CRC The R Series
Zusatzinfo 2 Tables, black and white; 112 Illustrations, black and white
Verlagsort Bosa Roca
Sprache englisch
Maße 156 x 234 mm
Gewicht 680 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Technik Lebensmitteltechnologie
ISBN-10 1-4665-6572-1 / 1466565721
ISBN-13 978-1-4665-6572-2 / 9781466565722
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Grundkurs

von E. Bruce Goldstein; Laura Cacciamani; Karl R. Gegenfurtner

Buch (2023)
Springer (Verlag)
59,99