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Analyzing Sensory Data with R

Sebastien Le | Thierry Worch | Margot Brard
€137.99
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A01=Margot Brard
A01=Sebastien Le
A01=Thierry Worch
advanced sensory data interpretation
analyze and interpret sensory data
and affective approaches to sensory data analysis
Aromatics Elixir
Author_Margot Brard
Author_Sebastien Le
Author_Thierry Worch
Bradley Terry Model
CA Function
Category=UNC
Coco Mademoiselle
Confidence Ellipses
consumer preference modeling
Data Set
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
experimental design methods
FactoMineR Package
food science research
GPA
Hedonic Data
Hedonic Scores
Liking Scores
Lolita Lempicka
MCA Function
Multiple Factor Analysis
multivariate statistics
Napping Data
PCA Function
Perceptual Distributions
product quality assessment
qualitative
quantitative
SensoMineR Package
Sensory Attributes
Sensory Data analysis using R
sensory evaluation
sensory perception analysis
Sensory Profiles
Standardize PCA
Statistical Methods for Sensory Data
Tetrad Test
Triangle Test
Variance Cumulative Percentage
Wine Data Set

Product details

  • ISBN 9781466565722
  • Weight: 660g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 Oct 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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