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heplots (version 1.3-5)

Visualizing Hypothesis Tests in Multivariate Linear Models

Description

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.

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Version

Install

install.packages('heplots')

Monthly Downloads

7,385

Version

1.3-5

License

GPL (>= 2)

Maintainer

Michael Friendly

Last Published

April 3rd, 2018

Functions in heplots (1.3-5)

Father Parenting Competance

Calculate column deviations from central values

heplots-internal

Internal heplots functions

Reaction Time Data

Taste Ratings of Japanese Rice Wine (Sake)

Head measurements of football players

Treatment of Headache Sufferers for Sensitivity to Noise

Chemical Analysis of Romano-British Pottery

Response Speed in a Probe Experiment

Diabetes Dataset

Captive and maltreated bees

Weight Gain in Rats Exposed to Thiouracil and Thyroxin

Coefficient plots for Multivariate Linear Models

Grades in a Sociology Course

Social Cognitive Measures in Psychiatric Groups

Two-Dimensional HE Plots

Draw classical and robust covariance ellipses for one or more groups

One-Dimensional HE Plots

Three-Dimensional HE Plots

Mark a point null hypothesis in an HE plot

Pairwise HE Plots

Robust Fitting of Multivariate Linear Models

Adolescent Health Data

Adopted Children

Plastic Film Data

Effects Of Physical Attractiveness Upon Mock Jury Decisions

National Longitudinal Survey of Youth Data

Rohwer Data Set

Growth of Apple Trees from Different Root Stocks

Egyptian Skulls

Recovery from Elective Herniorrhaphy

Classical and Robust Mahalanobis Distances

Neurocognitive Measures in Psychiatric Groups

Oslo Transect Subset Data

Draw axes of a 3D ellipsoid

Measures of Partial Association (Eta-squared) for Linear Models

Draw a 3D Arrow in an RGL Scene

Bartlett Tests of Homogeneity of Variances

Vocabulary growth data

Weight Loss Data

Orthogonalize successive columns of a data frame or matrix

Levene Tests of Homogeneity of Variances

Chi Square Quantile-Quantile plots

Draw a 3D cross in an rgl scene

Calculate confidence interval for log determinant of covariance matrices

heplots-package

Visualizing Hypothesis Tests in Multivariate Linear Models

Make Colors Transparent

Plot for Box's M test and generalizations

Plot observation weights from a robust multivariate linear models

Calculate statistics for levels of factors

Calculate Means for a Term in a Multivariate Linear Model

Plot an Interpolation Between Two Related Data Sets

Label an ellipse