Exploratory Multivariate Analysis by Example Using R

ISBN: 9781138196346 出版年：2017 页码：263 Husson, Francois Le, Sebastien CRC Press

Principal Component Analysis (PCA) Data - Notation - Examples Objectives Studying Individuals Studying Variables Relationships between the Two Representations NI and NK Interpreting the Data Implementation with FactoMineR Additional Results Example: The Decathlon Dataset Example: The Temperature Dataset Example of Genomic Data: The Chicken Dataset Correspondence Analysis (CA) Data - Notation - Examples Objectives and the Independence Model Fitting the Clouds Interpreting the Data Supplementary Elements (= Illustrative) Implementation with FactoMineR CA and Textual Data Processing Example: The Olympic Games Dataset Example: The White Wines Dataset Example: The Causes of Mortality Dataset Multiple Correspondence Analysis (MCA) Data - Notation - Examples Objectives Defining Distances between Individuals and Distances between Categories CA on the Indicator Matrix Interpreting the Data Implementation with FactoMineR Addendum Example: The Survey on the Perception of Genetically Modified Organisms Example: The Sorting Task Dataset Clustering Data - Issues Formalising the Notion of Similarity Constructing an Indexed Hierarchy Ward's Method Direct Search for Partitions: K-means Algorithm Partitioning and Hierarchical Clustering Clustering and Principal Component Methods Example: The Temperature Dataset Example: The Tea Dataset Dividing Quantitative Variables into Classes Appendix Percentage of Inertia Explained by the First Component or by the First Plane R Software Bibliography of Software Packages Bibliography Index