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:
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.
Part I. Quantitative descriptive approaches
Chapter 1. When panelists rate products according to a single list of attributes
Chapter 2. When products are rated according to a single list of attributes
Chapter 3. When products are rated according to several lists of attributes
Part II. Qualitative descriptive approaches
Chapter 4. When products are depicted by comments
Chapter 5. When two di erent products are compared in various situations
Chapter 6. When products are grouped into homogeneous clusters
Chapter 7. When products are positioned onto a projective map
Part III. Affective descriptive approaches
Chapter 8. When products are solely assessed by liking
Chapter 9. When products are described by both liking and external information “independently”
Chapter 10. When products are described by a mix of liking and external information
Appendix A. The R survival guide
