Multivariate methods

15 methods in this family.

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BiplotA biplot is a low-dimensional graphical representation of a multivariate data matrix that simultaneously displays both the observations (rows) and the variables (columns) as points Canonical Correlation AnalysisCanonical Correlation Analysis (CCA) is a multivariate statistical method that identifies pairs of linear combinations — one from each of two variable sets — such that the correlat Correspondence AnalysisCorrespondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-Pau Discriminant AnalysisDiscriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the g Linear Discriminant Analysis (Classification)Linear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more prede MANCOVAMANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while stati

All methods 15

Biplot Canonical Correlation Analysis Correspondence Analysis Discriminant Analysis Linear Discriminant Analysis (Classification)MANCOVA MANOVA Multidimensional Scaling Multiple Correspondence Analysis Robust Canonical Correlation Analysis Robust Correspondence Analysis Robust Discriminant Analysis Robust MANOVA Robust Multidimensional Scaling Robust Multiple Correspondence Analysis