Multivariate Analysis of Variance Based on Distances and Permutations
Add Clusters to a Biplot Object
Checks if a vector is binary
Draws a variable on a biplot
Multivariate Analysis of Variance based on Distances and Bootstrap
Canonical Analysis based on Distances
Draws a circle.
Non-parametric concentration ellipses
Construction of contrasts for several factors
Cumulative sums
Distances for binary data
Distances among individuals with continuous data
Connects two sets of points by lines
Converts a Factor into its indicator matrix
Calculates the scales for the variables on a linear biplot
G inverse
Checks if a point is inside a box
Initial transformation of a data matrix
Estimation of the MANOVA parameters.
Multivariate Analysis of Variance (MANOVA)
Mixture Gaussian Clustering
Matrix of ones
Estimation of the PERMANOVA parameters
PERMANOVA: MANOVA based on distances
PERMANOVA from a matrix of distancies
Plots the principal coordinates of the group centers and the bootstrap...
Plot a concentration ellipse
Plots the results of a MANOVA Biplot
Plots the results of a MANOVA Biplot
Plots the results of the PERMANOVA function
Plot clusters on a biplot.
Post Hoc pairwise comparisons
Simple Procrustes Analysis
Summarizes the results of a Bootstrap Manova based on distances
Labels of a Scatter
Matrix of zeros
Calculates multivariate analysis of variance based on permutations and some associated pictorial representations. The pictorial representation is based on the principal coordinates of the group means. There are some original results that will be published soon.