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Analyzing Sensory Data with R

By Sebastien Le, Thierry Worch

Chapman and Hall/CRC – 2014 – 374 pages

Series: Chapman & Hall/CRC The R Series

Purchasing Options:

  • Add to CartHardback: $89.95
    978-1-46-656572-2
    October 9th 2014

Description

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.

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.

Name: Analyzing Sensory Data with R (Hardback)Chapman and Hall/CRC 
Description: By Sebastien Le, Thierry Worch. 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...
Categories: Statistical Computing, Psychological Methods & Statistics, Processing