Box-Cox transformation

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Table of contents

I. Introduction of INRA
A. General introduction
B. The Toulouse Centre
II. Objectives
A. Context and objectives of research
B. Objective of internship
III. Methods
A. Data transformation
1. Box-Cox transformation
2. Geometric normalization
3. Wisconsin double standardization
B. Ordination methods
1. Principal component analysis (PCA)
2. Nonmetric Multidimensional Scaling(nMDS)
3. Analysis of Similarities (ANOSIM)
4. Canonical correlation analysis (CCA)
5. Regularized generalized canonical correlation analysis (rGCCA)
C. Multilevel modeling
1. Analysis of variance (ANOVA)
2. Mixed effects model
3. Tuckey Honestly Significant Difference test (Tuckey HSD)
D. Dimension reduction
1. Quantile approache
2. sparse PCA
IV. Results and discussion
1. Nonmetric Multidimensional Scaling (nMDS)
2. Analysis of Similarities (ANOSIM)
3. Mixed-effects Model
4. Analysis of variance (ANOVA) and Tuckey HSD test
5. Dimension reductions
6. Regularized canonical correlation analysis (rCCA)
V. Tables and Figures
VI. References