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heplots (version 1.7.3)

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

6,845

Version

1.7.3

License

GPL (>= 2)

Last Published

December 22nd, 2024

Functions in heplots (1.7.3)

NeuroCog

Neurocognitive Measures in Psychiatric Groups
NLSY

National Longitudinal Survey of Youth Data
Probe

Response Speed in a Probe Experiment
MockJury

Effects Of Physical Attractiveness Upon Mock Jury Decisions
Oslo

Oslo Transect Subset Data
Overdose

Overdose of Amitriptyline
Parenting

Father Parenting Competence
Plastic

Plastic Film Data
RatWeight

Weight Gain in Rats Exposed to Thiouracil and Thyroxin
Pottery2

Chemical Analysis of Romano-British Pottery
ReactTime

Reaction Time Data
VocabGrowth

Vocabulary growth data
SocialCog

Social Cognitive Measures in Psychiatric Groups
WeightLoss

Weight Loss Data
Skulls

Egyptian Skulls
Sake

Taste Ratings of Japanese Rice Wine (Sake)
SocGrades

Grades in a Sociology Course
RootStock

Growth of Apple Trees from Different Root Stocks
Rohwer

Rohwer Data Set
TIPI

Data on the Ten Item Personality Inventory
coefplot

Coefficient plots for Multivariate Linear Models
df.terms

Find degrees of freedom for model terms
boxM

Box's M-test
bbox3d

Find the bounding box of a rgl::mesh3d or rgl::qmesh3d object
cross3d

Draw a 3D cross in an rgl scene
bartlettTests

Bartlett Tests of Homogeneity of Variances
arrow3d

Draw a 3D Arrow in an RGL Scene
covEllipses

Draw classical and robust covariance ellipses for one or more groups
glance.mlm

Glance at an mlm object
dogfood

Dogfood Preferences
gsorth

Orthogonalize successive columns of a data frame or matrix
etasq

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

Calculate column deviations from central values
ellipse.axes

Draw Axes of a 2D Covariance Ellipse
ellipse.box

Draw Conjugate Axes and Parallelogram Surrounding a Covariance Ellipse
heplot

Two-Dimensional HE Plots
cqplot

Chi Square Quantile-Quantile plots
heplot3d

Three-Dimensional HE Plots
ellipse3d.axes

Draw axes of a 3D ellipsoid
heplot1d

One-Dimensional HE Plots
mark.H0

Mark a point null hypothesis in an HE plot
oral

Effect of Delay in Oral Practice in Second Language Learning
leveneTests

Levene Tests of Homogeneity of Variances
interpPlot

Plot an Interpolation Between Two Related Data Sets
logdetCI

Calculate confidence interval for log determinant of covariance matrices
heplots-internal

Internal heplots functions
heplots-package

Visualizing Hypothesis Tests in Multivariate Linear Models
label.ellipse

Label an ellipse
uniStats

Univariate Test Statistics for a Multivariate Linear Model
mathscore

Math scores for basic math and word problems
statList

Calculate statistics for levels of factors
plot.robmlm

Plot observation weights from a robust multivariate linear models
trans.colors

Make Colors Transparent
peng

Size measurements for penguins near Palmer Station, Antarctica
pairs.mlm

Pairwise HE Plots
termMeans

Calculate Means for a Term in a Multivariate Linear Model
schooldata

School Data
plot.boxM

Plot for Box's M test and generalizations
robmlm

Robust Fitting of Multivariate Linear Models
Bees

Captive and maltreated bees
Ellipsoid

Draw an Ellipsoid in an rgl Scene
Diabetes

Diabetes Dataset
FootHead

Head measurements of football players
Headache

Treatment of Headache Sufferers for Sensitivity to Noise
AddHealth

Adolescent Mental Health Data
Adopted

Adopted Children
Iwasaki_Big_Five

Personality Traits of Cultural Groups
Hernior

Recovery from Elective Herniorrhaphy
Mahalanobis

Classical and Robust Mahalanobis Distances