evolqg

Alpha Repetability

Calculate Covariance Matrix from a linear model fitted with lm() using different estimators

R2 confidence intervals by bootstrap resampling

Bootstrap analysis via resampling

Non-Parametric population samples and statistic comparison

Calculates mean correlations within- and between-modules

Integration measure based on eigenvalue dispersion

Calculates the ICV of a covariance matrix.

Mean Squared Correlations

Corrected integration value

Parametric per trait Repeatabilities

Calculate Covariance Matrix from a linear model fitted with lm()

Generic Comparison Map functions for creating parallel list methods Internal functions for making eficient comparisons.

Creates binary correlation matrices

Compare matrices via the correlation between response vectors

Test drift hypothesis

Eigentensor Decomposition

Control Inverse matrix noise with Extension

Compare matrices via Krzanowski Correlation

Compare matrices via Modified Krzanowski Correlation

Krzanowski common subspaces analysis

L Modularity

Modularity and integration analysis tool

Compare matrices via Mantel Correlation

Test single modularity hypothesis using Mantel correlation

Matrix Compare

Matrix distance

Mean Covariance Matrix

Calculate mean values for various matrix statistics

R2 confidence intervals by parametric sampling

Parametric repeatabilities with covariance or correlation matrices

Parametric population samples with covariance or correlation matrices

Calculate Mahalonabis distance for many vectors

Multivariate genetic drift test for 2 populations

Normalize and Norm

Distribution overlap distance

Compare matrices using PCA similarity factor

PC Score Correlation Test

Create binary hypothesis

Compares sister groups

Mantel test with phylogenetic permutations

Calculates ancestral states of some statistic

Plot Rarefaction analysis

Plot results from TreeDriftTest

Print Matrix to file

Project Covariance Matrix

Random Skewers projection

Random correlation matrix

Random matrices for tests

Compare matrices via RandomSkewers

Rarefaction analysis via ressampling

Non-Parametric rarefacted population samples and statistic comparison

Relative Eigenanalysis

Remove Size Variation

Revert Matrix

Matrix Riemann distance

Compare matrices via Selection Response Decomposition

Generic Single Comparison Map functions for creating parallel list methods Internal functions for making eficient comparisons.

Test modularity hypothesis

Drift test along phylogeny

Example multivariate data set

Tree for dentus example species

EvolQG

Linear distances for five mouse lines