Visualizing Hypothesis Tests in Multivariate Linear Models
Plot for Box's M test and generalizations
Draw a 3D cross in an rgl scene
Find degrees of freedom for model terms
Draw Axes of a 2D Covariance Ellipse
One-Dimensional HE Plots
Three-Dimensional HE Plots
Internal heplots functions
Visualizing Hypothesis Tests in Multivariate Linear Models
Draw a 3D Arrow in an RGL Scene
Plot an Interpolation Between Two Related Data Sets
Bartlett Tests of Homogeneity of Variances
Find the bounding box of a rgl::mesh3d or rgl::qmesh3d object
Box's M-test
Coefficient plots for Multivariate Linear Models
Calculate column deviations from central values
Draw classical and robust covariance ellipses for one or more groups
Chi Square Quantile-Quantile plots
Draw Conjugate Axes and Parallelogram Surrounding a Covariance Ellipse
Draw axes of a 3D ellipsoid
Draw an Ellipsoid in an rgl Scene
Measures of Partial Association (Eta-squared) for Linear Models
Glance at an mlm object
Orthogonalize successive columns of a data frame or matrix
Two-Dimensional HE Plots
Label an ellipse
Levene Tests of Homogeneity of Variances
Calculate confidence interval for log determinant of covariance matric...
Classical and Robust Mahalanobis Distances
Mark a point null hypothesis in an HE plot
Pairwise HE Plots
Plot observation weights from a robust multivariate linear models
Response Speed in a Probe Experiment
Robust Fitting of Multivariate Linear Models
Calculate statistics for levels of factors
Calculate Means for a Term in a Multivariate Linear Model
Make Colors Transparent
Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.