Package index

All functions

Anova() Manova() print(<Anova.mlm>) summary(<Anova.mlm>) print(<summary.Anova.mlm>) print(<univaov>) as.data.frame(<univaov>)

Anova Tables for Various Statistical Models

Boot()

Bootstrapping for regression models

Boxplot()

Boxplots With Point Identification

contr.Treatment() contr.Sum() contr.Helmert()

Functions to Construct Contrasts

ellipse() dataEllipse() confidenceEllipse() confidenceEllipses()

Ellipses, Data Ellipses, and Confidence Ellipses

Export()

Export a data frame to disk in one of many formats

Import()

Import data from many file formats

Predict()

Model Predictions

S() print(<S.lm>) print(<S.glm>) print(<S.multinom>) print(<S.polr>) print(<S.lme>) print(<S.lmerMod>) print(<S.glmerMod>) Confint()

Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models

gamLine() loessLine() quantregLine()

Smoothers to Draw Lines on Scatterplots

Tapply()

Apply a Function to a Variable Within Factor Levels

basicPowerAxis() bcPowerAxis() bcnPowerAxis() yjPowerAxis() probabilityAxis()

Axes for Transformed Variables

avPlots() avp() avPlot() avPlot3d()

Added-Variable Plots

bcPower() bcnPower() bcnPowerInverse() yjPower() basicPower()

Box-Cox, Box-Cox with Negatives Allowed, Yeo-Johnson and Basic Power Transformations

boxCox() boxCox2d()

Graph the profile log-likelihood for Box-Cox transformations in 1D, or in 2D with the bcnPower family.

boxCoxVariable()

Constructed Variable for Box-Cox Transformation

boxTidwell() print(<boxTidwell>)

Box-Tidwell Transformations

brief brief.data.frame brief.tbl brief.matrix brief.numeric brief.integer brief.character brief.factor brief.function brief.list brief.lm brief.glm brief.multinom brief.polr brief.default

Print Abbreviated Ouput

av.plot() av.plots() box.cox() bc() box.cox.powers() box.cox.var() box.tidwell() cookd() confidence.ellipse() ceres.plot() ceres.plots() cr.plot() cr.plots() data.ellipse() durbin.watson() levene.test() leverage.plot() leverage.plots() linear.hypothesis() ncv.test() outlier.test() qq.plot() skewPower() spread.level.plot()

Defunct Functions in the car Package

bootCase() nextBoot()

Deprecated Functions in the car Package

car-internal.Rd .carEnv

Internal Objects for the car package

carHexsticker()

View the Official Hex Sticker for the car Package

carPalette()

Set or Retrieve car Package Color Palette

carWeb()

Access to the R Companion to Applied Regression Website

ceresPlots() ceresPlot()

Ceres Plots

compareCoefs()

Print estimated coefficients and their standard errors in a table for several regression models.

crPlots() crp() crPlot() crPlot3d()

Component+Residual (Partial Residual) Plots

deltaMethod()

Estimate and Standard Error of a Nonlinear Function of Estimated Regression Coefficients

densityPlot() adaptiveKernel() depan() dbiwt()

Nonparametric Density Estimates

dfbetaPlots() dfbetasPlots()

dfbeta and dfbetas Index Plots

durbinWatsonTest() dwt() print(<durbinWatsonTest>)

Durbin-Watson Test for Autocorrelated Errors

hccm()

Heteroscedasticity-Corrected Covariance Matrices

hist(<boot>) summary(<boot>) confint(<boot>) Confint(<boot>) vcov(<boot>)

Methods Functions to Support boot Objects

infIndexPlot() influenceIndexPlot()

Influence Index Plot

influence(<lme>) cooks.distance(<influence.lme>) dfbeta(<influence.lme>) dfbetas(<influence.lme>)

Influence Diagnostics for Mixed-Effects Models

influencePlot()

Regression Influence Plot

inverseResponsePlot() invResPlot()

Inverse Response Plots to Transform the Response

invTranPlot() invTranEstimate()

Choose a Predictor Transformation Visually or Numerically

leveneTest()

Levene's Test

leveragePlots() leveragePlot()

Regression Leverage Plots

linearHypothesis() lht() print(<linearHypothesis.mlm>) matchCoefs()

Test Linear Hypothesis

logit()

Logit Transformation

marginalModelPlots() mmps() marginalModelPlot() mmp()

Marginal Model Plotting

mcPlots() mcPlot()

Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid

ncvTest()

Score Test for Non-Constant Error Variance

outlierTest() print(<outlierTest>)

Bonferroni Outlier Test

panel.car()

Panel Function for Coplots

poTest() print(<poTest>)

Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model

pointLabel()

Label placement for points to avoid overlaps

powerTransform()

Finding Univariate or Multivariate Power Transformations

qqPlot() qqp()

Quantile-Comparison Plot

recode() Recode()

Recode a Variable

regLine()

Plot Regression Line

residualPlots() residualPlot()

Residual Plots for Linear and Generalized Linear Models

scatter3d() Identify3d()

Three-Dimensional Scatterplots and Point Identification

scatterplot() sp()

Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More

scatterplotMatrix() spm()

Scatterplot Matrices

showLabels()

Functions to Identify and Mark Extreme Points in a 2D Plot.

sigmaHat()

Return the scale estimate for a regression model

some()

Sample a Few Elements of an Object

spreadLevelPlot() slp() print(<spreadLevelPlot>)

Spread-Level Plots

strings2factors()

Convert Character-String Variables in a Data Frame to Factors

subsets()

Plot Output from regsubsets Function in leaps package

symbox()

Boxplots for transformations to symmetry

testTransform()

Likelihood-Ratio Tests for Univariate or Multivariate Power Transformations to Normality

vif()

Variance Inflation Factors

wcrossprod()

Weighted Matrix Crossproduct

whichNames() which.names()

Position of Row Names