Analyzing Sensory Data with R

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ISBN 9781466565722
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Features

  • Shows how to address a sensory problem by providing tailored statistical analyses using R
  • Emphasizes the importance of understanding the objectives of sensory evaluation
  • Interprets the results of each analysis
  • Enables you to adapt the code to your own needs
  • Includes an introduction to R for beginners
  • Presents various exercises and recommended readings that help you become familiar with the sensory evaluations, sensory data, statistical analyses, and R
  • Offers all the data sets used in the exercises as well as exercise solutions on a supplementary website

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 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.

Table of Contents

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®

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.

Downloads / Updates

Resource OS Platform Updated Description Instructions
Cross Platform July 22, 2014 click on http://sensorywithr.org/>