Multivariate techniques

These are the available functions for multivariate techniques. See each function's help topic in the TIBCO Enterprise Runtime for R Language Reference for more information.

Function name	Title description
`[[.dendrogram`	General Tree Structures
`as.dendrogram`	General Tree Structures
`as.dendrogram.dendrogram`	General Tree Structures
`as.dendrogram.hclust`	General Tree Structures
`as.dist`	Distance Matrix Calculation
`as.dist.default`	Distance Matrix Calculation
`as.hclust`	Converts Objects to Class hclust
`as.hclust.default`	Converts Objects to Class hclust
`as.hclust.dendrogram`	Converts Objects to Class hclust
`as.hclust.twins`	Converts Objects to Class hclust
`as.matrix.dist`	Distance Matrix Calculation
`cancor`	Canonical Correlation Analysis
`cmdscale`	Classical Metric Multi-Dimensional Scaling
`cophenetic`	Cophenetic Distances for a Hierarchical Clustering
`cophenetic.default`	Cophenetic Distances for a Hierarchical Clustering
`cophenetic.dendrogram`	Cophenetic Distances for a Hierarchical Clustering
`cor`	Correlation, Variance, and Covariance (Matrices)
`cov`	Correlation, Variance, and Covariance (Matrices)
`cov.wt`	Weighted Covariance Estimation
`cov2cor`	Correlation, Variance, and Covariance (Matrices)
`cut.dendrogram`	General Tree Structures
`cutree`	Create Groups from Hierarchical Clustering
`dendrogram`	General Tree Structures
`dist`	Distance Matrix Calculation
`estVar`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`estVar.mlm`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`estVar.SSD`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`factanal`	Estimate a Factor Analysis Model
`fft`	Fast Fourier Transform
`fitted.kmeans`	K-Means Clustering
`format.dist`	Distance Matrix Calculation
`hclust`	Hierarchical Clustering
`is.leaf`	General Tree Structures
`kmeans`	K-Means Clustering
`labels.dist`	Distance Matrix Calculation
`loadings`	Extract Loadings from an Object
`mahalanobis`	Mahalanobis Distance
`mvfft`	Fast Fourier Transform
`plot.dendrogram`	General Tree Structures
`prcomp`	Principal Components Analysis
`prcomp.default`	Principal Components Analysis
`prcomp.formula`	Principal Components Analysis
`predict.prcomp`	Principal Component Scores
`predict.princomp`	Principal Component Scores
`princomp`	Principal Components Analysis
`princomp.default`	Principal Components Analysis
`princomp.formula`	Principal Components Analysis
`print.dendrogram`	General Tree Structures
`print.dist`	Distance Matrix Calculation
`print.factanal`	Estimate a Factor Analysis Model
`print.hclust`	Hierarchical Clustering
`print.kmeans`	K-Means Clustering
`print.loadings`	Print a Loadings Matrix
`print.prcomp`	Print a Principal Components Object
`print.princomp`	Print a Principal Components Object
`print.summary.prcomp`	Print a Principal Component Summary
`print.summary.princomp`	Print a Principal Component Summary
`SSD`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`SSD.mlm`	SSD Matrix and Estimated Variance Matrix in Multivariate Models
`str.dendrogram`	General Tree Structures
`summary.prcomp`	Summary of a Principal Components Object
`summary.princomp`	Summary of a Principal Components Object
`var`	Correlation, Variance, and Covariance (Matrices)