R: Classical Multivariate Analysis

# Classical Multivariate Analysis

ability.cov | Ability and Intelligence Tests
as.dendrogram | General Tree Structures
as.dist | Distance Matrix Computation
as.hclust | Convert Objects to Class hclust
as.matrix.dist | Distance Matrix Computation
biplot | Biplot of Multivariate Data
biplot.princomp | Biplot for Principal Components
cancor | Canonical Correlations
cmdscale | Classical (Metric) Multidimensional Scaling
cut.dendrogram | General Tree Structures
cutree | Cut a tree into groups of data
dist | Distance Matrix Computation
factanal | Factor Analysis
factanal.fit.mle | Factor Analysis
format.dist | Distance Matrix Computation
Harman23.cor | Harman Example 2.3
Harman74.cor | Harman Example 7.4
hclust | Hierarchical Clustering
identify.hclust | Identify Clusters in a Dendrogram
kmeans | K-Means Clustering
loadings | Print Loadings in Factor Analysis
names.dist | Distance Matrix Computation
plot.dendrogram | General Tree Structures
plot.hclust | Hierarchical Clustering
plot.prcomp | Principal Components Analysis
plot.princomp | Principal Components Analysis
plotNode | General Tree Structures
plotNodeLimit | General Tree Structures
prcomp | Principal Components Analysis
predict.princomp | Principal Components Analysis
princomp | Principal Components Analysis
print.dist | Distance Matrix Computation
print.factanal | Print Loadings in Factor Analysis
print.hclust | Hierarchical Clustering
print.loadings | Print Loadings in Factor Analysis
print.prcomp | Principal Components Analysis
print.princomp | Principal Components Analysis
print.summary.prcomp | Principal Components Analysis
promax | Rotation Methods for Factor Analysis
rect.hclust | Draw Rectangles Around Hierarchical Clusters
screeplot | Screeplot of PCA Results
summary.prcomp | Principal Components Analysis
summary.princomp | Summary method for Principal Components Analysis
varimax | Rotation Methods for Factor Analysis