Analyzing Sensory Data with R

ISBN: 9781466565722 出版年：2018 页码：375 Le, Sebastien Worch, Thierry CRC Press

Quantitative Descriptive Approaches When panelists rate products according to one single list of attributes Data, sensory issues, notations In practice For experienced users: Measuring the impact of the experimental design on the perception of the products? When products are rated according to one single list of attributes Data, sensory issues, notations In practice For experienced users: Adding supplementary information to the product space When products are rated according to several lists of attributes Data, sensory issues, notations In practice For experienced users: Comparing different panels with Hierarchical Multiple Factor Analysis (HMFA) Qualitative Descriptive Approaches When products are depicted by comments Data, sensory issues, notations In practice For experienced users: Comparing free comments from different panels, the Rorschach test revisited When two different products are put in various experimental contexts Data, sensory issues, notations In practice For experienced users: the Thurstonian approach When products are grouped into homogeneous clusters Data, sensory issues, notations In practice For experienced users: the Hierarchical Sorting Task When products are positioned onto a projective map Data, sensory issues, notations In practice For experienced users: The Sorted Napping(R) Affective Descriptive Approaches When products are solely assessed by liking Data, sensory issues, notations In practice For experienced users: Dealing with multiple hedonic variables and supplementary consumer data When products are described by both liking and external information "independently" Data, sensory issues, notations In practice For experienced users: Finding the best correspondence between the Sensory and Hedonic matrices, using PrefMFA When products are described by a mix of liking and external information Data, sensory issues, notations In practice For experienced users: Assessing the consistency of ideal data in IPM Appendix A: The R survival guide Appendix B: Glossary Index Exercises and Recommended Readings appear at the end of each chapter.