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heplots (version 1.3-8)

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

5,953

Version

1.3-8

License

GPL (>= 2)

Maintainer

Michael Friendly

Last Published

January 21st, 2021

Functions in heplots (1.3-8)

Mahalanobis

Classical and Robust Mahalanobis Distances
AddHealth

Adolescent Health Data
FootHead

Head measurements of football players
NLSY

National Longitudinal Survey of Youth Data
Headache

Treatment of Headache Sufferers for Sensitivity to Noise
MockJury

Effects Of Physical Attractiveness Upon Mock Jury Decisions
Diabetes

Diabetes Dataset
Adopted

Adopted Children
Bees

Captive and maltreated bees
Hernior

Recovery from Elective Herniorrhaphy
Pottery2

Chemical Analysis of Romano-British Pottery
RatWeight

Weight Gain in Rats Exposed to Thiouracil and Thyroxin
RootStock

Growth of Apple Trees from Different Root Stocks
Rohwer

Rohwer Data Set
SocialCog

Social Cognitive Measures in Psychiatric Groups
SocGrades

Grades in a Sociology Course
NeuroCog

Neurocognitive Measures in Psychiatric Groups
Oslo

Oslo Transect Subset Data
boxM

Box's M-test
arrow3d

Draw a 3D Arrow in an RGL Scene
Plastic

Plastic Film Data
Parenting

Father Parenting Competence
coefplot

Coefficient plots for Multivariate Linear Models
VocabGrowth

Vocabulary growth data
Probe

Response Speed in a Probe Experiment
ReactTime

Reaction Time Data
cqplot

Chi Square Quantile-Quantile plots
gsorth

Orthogonalize successive columns of a data frame or matrix
etasq

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

Egyptian Skulls
WeightLoss

Weight Loss Data
bartlettTests

Bartlett Tests of Homogeneity of Variances
Sake

Taste Ratings of Japanese Rice Wine (Sake)
cross3d

Draw a 3D cross in an rgl scene
heplot3d

Three-Dimensional HE Plots
ellipse3d.axes

Draw axes of a 3D ellipsoid
pairs.mlm

Pairwise HE Plots
termMeans

Calculate Means for a Term in a Multivariate Linear Model
plot.boxM

Plot for Box's M test and generalizations
logdetCI

Calculate confidence interval for log determinant of covariance matrices
trans.colors

Make Colors Transparent
leveneTests

Levene Tests of Homogeneity of Variances
heplots-internal

Internal heplots functions
mark.H0

Mark a point null hypothesis in an HE plot
mathscore

Math scores for basic math and word problems
heplots-package

Visualizing Hypothesis Tests in Multivariate Linear Models
heplot1d

One-Dimensional HE Plots
heplot

Two-Dimensional HE Plots
schooldata

School Data
statList

Calculate statistics for levels of factors
label.ellipse

Label an ellipse
covEllipses

Draw classical and robust covariance ellipses for one or more groups
colDevs

Calculate column deviations from central values
plot.robmlm

Plot observation weights from a robust multivariate linear models
interpPlot

Plot an Interpolation Between Two Related Data Sets
robmlm

Robust Fitting of Multivariate Linear Models