PERMANOVA

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

Initial transformation of a data matrix

Multivariate Analysis of Variance (MANOVA)

Estimation of the MANOVA parameters.

Matrix of ones

PERMANOVA: MANOVA based on distances

Estimation of the PERMANOVA parameters

PERMANOVA from a matrix of distancies

Plot clusters on a biplot.

Post Hoc pairwise comparisons

Simple Procrustes Analysis

Labels of a Scatter

Matrix of zeros

Checks if a point is inside a box

Mixture Gaussian Clustering

Plots the principal coordinates of the group centers and the bootstrap confidence regions

Plots the results of a MANOVA Biplot

Plots the results of the PERMANOVA function

Plot a concentration ellipse

Hunting Spiders Data

Hunting Spiders Data

Summarizes the results of a Bootstrap Manova based on distances

Wine data