Multivariate Data Analysis
Biplot
Partial Bootstrap Analysis
Bootstrap CA Results
Bootstrap PCA Results
Burt Table
CA Results
Correspondence Analysis
Complete Disjunctive Table
Object Description
Defunct Functions in dimensio
Deprecated Functions in dimensio
dimensio: Multivariate Data Analysis
Dimnames of an Object
Export Results
Get Contributions
Get Coordinates
Get Original Data
Get Eigenvalues
Non-Overlapping Text Labels
MCA Results
Multiple Correspondence Analysis
Output of Multivariate Data Analysis
Output of Bootstrap Replications
Multivariate Data Analysis Results
Summary of Multivariate Data Analysis
PCA Results
Principal Components Analysis
PCoA Results
Principal Coordinates Analysis
Plot Coordinates
Predict New Coordinates
Build a Legend
Prepare Data for Plotting
Objects exported from other packages
Scree Plot
Extract Parts of an Object
Object Summaries
Singular Value Decomposition of a Matrix
Tidy Coordinates
Confidence Ellipses
Visualize Contributions and cos2
Ellipses
Convex Hulls
Visualize Individuals Factor Map
Non-Overlapping Text Labels
Add Legend
Build a Factor Map
Tolerance Ellipses
Visualize Variables Factor Map
Simple Principal Components Analysis (PCA) and (Multiple) Correspondence Analysis (CA) based on the Singular Value Decomposition (SVD). This package provides S4 classes and methods to compute, extract, summarize and visualize results of multivariate data analysis. It also includes methods for partial bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et al. (2006, ISBN: 978-2-10-049616-7).
Useful links