# Multivariate Techniques

These are the available functions for multivariate techniques. See each function's help topic in the TERR 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
`bartlett.test` | Bartlett Test of Homogeneity of Variances
`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
`loglin` | Contingency Table Analysis
`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)