Package index • heplots

HE plots

Hypothesis-Error plots

heplot(): Two-Dimensional HE Plots

heplot1d(): One-Dimensional HE Plots

heplot3d(): Three-Dimensional HE Plots

heplots-package heplots _PACKAGE: Visualizing Hypothesis Tests in Multivariate Linear Models

pairs(<mlm>): Pairwise HE Plots

mark.H0(): Mark a point null hypothesis in an HE plot

Homogeneity of Variance

Tests and plots for homogeneity of variances and covariances

bartlettTests(): Bartlett Tests of Homogeneity of Variances

boxM() summary(<boxM>): Box's M-test

leveneTests(): Levene Tests of Homogeneity of Variances

logdetCI(): Calculate confidence interval for log determinant of covariance matrices

plot(<boxM>): Plot for Box's M test and generalizations

Robust MLMs

Robust multivariate linear models

cqplot(): Chi Square Quantile-Quantile plots

Mahalanobis(): Classical and Robust Mahalanobis Distances

robmlm() print(<robmlm>) summary(<robmlm>) print(<summary.robmlm>): Robust Fitting of Multivariate Linear Models

plot(<robmlm>): Plot observation weights from a robust multivariate linear models

Other plots & methods

Other plots and methods for multivariate linear models

coefplot(): Coefficient plots for Multivariate Linear Models

covEllipses(): Draw classical and robust covariance ellipses for one or more groups

glance(<mlm>): Glance at an mlm object

Utility

Utility functions

arrow3d(): Draw a 3D Arrow in an RGL Scene

bbox3d(): Find the bounding box of a rgl::mesh3d or rgl::qmesh3d object

colDevs(): Calculate column deviations from central values

statList(): Calculate statistics for levels of factors

cross3d(): Draw a 3D cross in an rgl scene

df.terms(): Find degrees of freedom for model terms

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

Ellipsoid(): Draw an Ellipsoid in an rgl Scene

ellipse.axes(): Draw Axes of a 2D Covariance Ellipse

ellipse.box(): Draw Conjugate Axes and Parallelogram Surrounding a Covariance Ellipse

ellipse3d.axes(): Draw axes of a 3D ellipsoid

gsorth(): Orthogonalize successive columns of a data frame or matrix

interpPlot(): Plot an Interpolation Between Two Related Data Sets

label.ellipse(): Label an ellipse

termMeans(): Calculate Means for a Term in a Multivariate Linear Model

trans.colors(): Make Colors Transparent

Data sets

AddHealth: Adolescent Mental Health Data

Adopted: Adopted Children

Bees: Captive and maltreated bees

Diabetes: Diabetes Dataset

FootHead: Head measurements of football players

Headache: Treatment of Headache Sufferers for Sensitivity to Noise

Hernior: Recovery from Elective Herniorrhaphy

Iwasaki_Big_Five: Personality Traits of Cultural Groups

MockJury: Effects Of Physical Attractiveness Upon Mock Jury Decisions

NLSY: National Longitudinal Survey of Youth Data

NeuroCog: Neurocognitive Measures in Psychiatric Groups

Oslo: Oslo Transect Subset Data

Overdose: Overdose of Amitriptyline

Parenting: Father Parenting Competence

peng: Size measurements for penguins near Palmer Station, Antarctica

Plastic: Plastic Film Data

Pottery2: Chemical Analysis of Romano-British Pottery

Probe Probe1 Probe2: Response Speed in a Probe Experiment

RatWeight: Weight Gain in Rats Exposed to Thiouracil and Thyroxin

ReactTime: Reaction Time Data

Rohwer: Rohwer Data Set

RootStock: Growth of Apple Trees from Different Root Stocks

Sake: Taste Ratings of Japanese Rice Wine (Sake)

Skulls: Egyptian Skulls

SocGrades: Grades in a Sociology Course

SocialCog: Social Cognitive Measures in Psychiatric Groups

TIPI: Data on the Ten Item Personality Inventory

VocabGrowth: Vocabulary growth data

WeightLoss: Weight Loss Data

mathscore: Math scores for basic math and word problems

schooldata: School Data

dogfood: Dogfood Preferences

oral: Effect of Delay in Oral Practice in Second Language Learning