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Analyzing Sensory Data with R

ISBN/GTIN

Analyzing Sensory Data with R

by

Le, SebastienWorch, Thierry

BookHardcover

Ranking16631inMathematik

CHF159.00

E-bookfromCHF87.05

Description

This book helps readers choose the right statistical method to analyze their sensory data. Each chapter presents 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.

More descriptions

Details

ISBN/GTIN978-1-4665-6572-2

Product TypeBook

BindingHardcover

PublisherTaylor and FrancisChapman and Hall/CRC

Publishing date09/10/2014

SeriesChapman & Hall/CRC The R Series

Pages374 pages

LanguageEnglish

SizeWidth 156 mm, Height 234 mm, Thickness 23 mm

Weight680 g

IllustrationsFarb., s/w. Abb.

Article no.16619703

CatalogsBuchzentrum

Data source no.20741683

Product groupMathematik

Series

Dealing with Memory Limits and Working with Large Data Sets in R

Statistical Computing with R

R Graphics

Statistical Computing in C++ and R

Event History Analysis with R

Customer and Business Analytics

Programming Graphical User Interfaces in R

Analyzing Baseball Data with R

Implementing Reproducible Research

Stated Preference Methods Using R

Growth Curve Analysis and Visualization Using R

Computational Actuarial Science with R

Multiple Factor Analysis by Example Using R

Analyzing Sensory Data with R

Displaying Time Series, Spatial, and Space-Time Data with R

Using R for Numerical Analysis in Science and Engineering

Advanced R

Introduction to Scientific Programming and Simulation Using R

Using R for Introductory Statistics

Data Science in R

Parallel Computing for Data Science

Dynamic Documents with R and knitr

Statistics in Toxicology Using R

Graphical Data Analysis with R

Reproducible Research with R and R Studio

Introductory Fisheries Analyses with R

Using the R Commander

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The Essentials of Data Science: Knowledge Discovery Using R

R Primer

Dynamic Documents with R and knitr

Reproducible Research with R and R Studio

Extending R

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Using the R Commander

Customer and Business Analytics

R Primer

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Flexible Regression and Smoothing

Data Science in R

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Practical R for Mass Communication and Journalism

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Displaying Time Series, Spatial, and Space-Time Data with R

Statistical Computing with R, Second Edition

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Engineering Production-Grade Shiny Apps

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Javascript for R

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Advanced R Solutions

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Dose-Response Analysis Using R

Statistics in Toxicology Using R

Distributions for Modeling Location, Scale, and Shape

Event History Analysis with R

Outstanding User Interfaces with Shiny

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Statistical Computing in C++ and R

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Behavior Analysis with Machine Learning Using R

Event History Analysis with R

Spatial Analysis in Geology Using R

Analyzing Baseball Data with R

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Author

Le, SebastienWorch, Thierry

Sebastien Le, Thierry Worch

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