Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are presented in a simplified form without relying on complex mathematical proofs.
This book was written to help researchers from different fields to analyze their data and make valid decisions. The development of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data.
Key Features
- Contains numerous step-by-step tutorials help the reader to learn quickly
- Covers the theory and application of the statistical techniques
- Shows how to analyze data using R software
- Provides R scripts for all examples and figures
1. Introduction2. Introduction to R3. Statistical Concepts4. Measures of Location and Dispersion5. Hypothesis Testing6. Comparing Several Population Means7. Regression Models8. Principal Component Analysis9. Factor Analysis10. Discriminant Analysis and Classification 11. Cluster Analysis
- O'Sullivan, A Handbook for Sensory and Consumer-Driven New Product Development, Woodhead Publishing, Sep 2016, 9780081003527, $124.00
- Jarvis, Statistical Aspects of the Microbiological Examination of Foods, 3e, Academic Press, Jun 2016, 9780128039731, $90.95
- Rossi and Mirtchev, Statistics for Food Scientists, Academic Press, Oct 2015, 9780124171794, $74.95
Undergraduate students, postgraduate students, and researchers in food science
