| Titre : | Analyzing sensory data with R | | Type de document : | texte imprimé | | Auteurs : | Lê, Sébastien ; Thierry Worch | | Editeur : | Boca Raton : CRC Press | | Année de publication : | 2015 | | Collection : | The R Series | | Importance : | 1 vol. (XVII-356 p.) | | Présentation : | ill. , couv. ill. en coul. | | Format : | 25 cm | | ISBN/ISSN/EAN : | 978-1-4665-6572-2 | | Note générale : | Bibliogr. Index. Annexes | | Langues : | Anglais (eng) | | Catégories : | Liste Plan de classement
7.1 (ANALYSE SENSORIELLE) [Classement Massy]
Thésaurus Agro-alimentaire
DONNEES STATISTIQUES ; ANALYSE ORGANOLEPTIQUE ; PRODUIT ALIMENTAIRE ; ANALYSE MULTIDIMENSIONNELLE ; PANEL DE CONSOMMATEUR
| | Résumé : | 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. | | Type de document : | Livre | | Table des matières : | I Quantitative Descriptive Approaches
1 When panelists rate products according to one single list of attributes
Data, sensory issues, notations
For experienced users: Measuring the impact of the experimental design on the perception of the products?
2 When products are rated according to one single list of attributes
Data, sensory issues, notations
For experienced users: Adding supplementary information to the product space
3 When products are rated according to several lists of attributes
Data, sensory issues, notations
For experienced users: Comparing different panels with Hierarchical Multiple Factor Analysis (HMFA)
II Qualitative Descriptive Approaches
4 When products are depicted by comments
Data, sensory issues, notations
For experienced users: Comparing free comments from different panels, the Rorschach test revisited
5 When two different products are put in various experimental contexts
Data, sensory issues, notations
For experienced users: the Thurstonian approach
6 When products are grouped into homogeneous clusters
Data, sensory issues, notations
For experienced users: the Hierarchical Sorting Task
7 When products are positioned onto a projective map
Data, sensory issues, notations
For experienced users: The Sorted Napping®
III Affective Descriptive Approaches
8 When products are solely assessed by liking
Data, sensory issues, notations
For experienced users: Dealing with multiple hedonic variables and supplementary consumer data
9 When products are described by both liking and external information "independently"
Data, sensory issues, notations
For experienced users: Finding the best correspondence between the Sensory and Hedonic matrices, using PrefMFA
10 When products are described by a mix of liking and external information
Data, sensory issues, notations
For experienced users: Assessing the consistency of ideal data in IPM
Appendix A: The R survival guide
Appendix B: Glossary | | Permalien de la notice : | https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=181936 |
Analyzing sensory data with R [texte imprimé] / Lê, Sébastien ; Thierry Worch . - Boca Raton : CRC Press, 2015 . - 1 vol. (XVII-356 p.) : ill. , couv. ill. en coul. ; 25 cm. - ( The R Series) . ISBN : 978-1-4665-6572-2 Bibliogr. Index. Annexes Langues : Anglais ( eng) | Catégories : | Liste Plan de classement
7.1 (ANALYSE SENSORIELLE) [Classement Massy]
Thésaurus Agro-alimentaire
DONNEES STATISTIQUES ; ANALYSE ORGANOLEPTIQUE ; PRODUIT ALIMENTAIRE ; ANALYSE MULTIDIMENSIONNELLE ; PANEL DE CONSOMMATEUR
| | Résumé : | 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. | | Type de document : | Livre | | Table des matières : | I Quantitative Descriptive Approaches
1 When panelists rate products according to one single list of attributes
Data, sensory issues, notations
For experienced users: Measuring the impact of the experimental design on the perception of the products?
2 When products are rated according to one single list of attributes
Data, sensory issues, notations
For experienced users: Adding supplementary information to the product space
3 When products are rated according to several lists of attributes
Data, sensory issues, notations
For experienced users: Comparing different panels with Hierarchical Multiple Factor Analysis (HMFA)
II Qualitative Descriptive Approaches
4 When products are depicted by comments
Data, sensory issues, notations
For experienced users: Comparing free comments from different panels, the Rorschach test revisited
5 When two different products are put in various experimental contexts
Data, sensory issues, notations
For experienced users: the Thurstonian approach
6 When products are grouped into homogeneous clusters
Data, sensory issues, notations
For experienced users: the Hierarchical Sorting Task
7 When products are positioned onto a projective map
Data, sensory issues, notations
For experienced users: The Sorted Napping®
III Affective Descriptive Approaches
8 When products are solely assessed by liking
Data, sensory issues, notations
For experienced users: Dealing with multiple hedonic variables and supplementary consumer data
9 When products are described by both liking and external information "independently"
Data, sensory issues, notations
For experienced users: Finding the best correspondence between the Sensory and Hedonic matrices, using PrefMFA
10 When products are described by a mix of liking and external information
Data, sensory issues, notations
For experienced users: Assessing the consistency of ideal data in IPM
Appendix A: The R survival guide
Appendix B: Glossary | | Permalien de la notice : | https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=181936 |
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