Learn R Programming

car (version 3.1-3)

Companion to Applied Regression

Description

Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.

Copy Link

Version

Install

install.packages('car')

Monthly Downloads

416,807

Version

3.1-3

License

GPL (>= 2)

Maintainer

Last Published

September 27th, 2024

Functions in car (3.1-3)

brief

Print Abbreviated Ouput
car-defunct

Defunct Functions in the car Package
boxTidwell

Box-Tidwell Transformations
TransformationAxes

Axes for Transformed Variables
boxCox

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

Deprecated Functions in the car Package
boxCoxVariable

Constructed Variable for Box-Cox Transformation
avPlots

Added-Variable Plots
Tapply

Apply a Function to a Variable Within Factor Levels
bcPower

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

Set or Retrieve car Package Color Palette
carWeb

Access to the R Companion to Applied Regression Website
ceresPlots

Ceres Plots
carHexsticker

View the Official Hex Sticker for the car Package
car-internal.Rd

Internal Objects for the car package
crPlots

Component+Residual (Partial Residual) Plots
deltaMethod

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

Nonparametric Density Estimates
compareCoefs

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

dfbeta and dfbetas Index Plots
hist.boot

Methods Functions to Support boot Objects
leveneTest

Levene's Test
leveragePlots

Regression Leverage Plots
invResPlot

Inverse Response Plots to Transform the Response
durbinWatsonTest

Durbin-Watson Test for Autocorrelated Errors
influencePlot

Regression Influence Plot
influence.mixed.models

Influence Diagnostics for Mixed-Effects Models
hccm

Heteroscedasticity-Corrected Covariance Matrices
infIndexPlot

Influence Index Plot
invTranPlot

Choose a Predictor Transformation Visually or Numerically
logit

Logit Transformation
panel.car

Panel Function for Coplots
pointLabel

Label placement for points to avoid overlaps
ncvTest

Score Test for Non-Constant Error Variance
outlierTest

Bonferroni Outlier Test
linearHypothesis

Test Linear Hypothesis
mmps

Marginal Model Plotting
powerTransform

Finding Univariate or Multivariate Power Transformations
poTest

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

Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid
recode

Recode a Variable
regLine

Plot Regression Line
scatterplotMatrix

Scatterplot Matrices
some

Sample a Few Elements of an Object
sigmaHat

Return the scale estimate for a regression model
residualPlots

Residual Plots for Linear and Generalized Linear Models
qqPlot

Quantile-Comparison Plot
symbox

Boxplots for transformations to symmetry
scatter3d

Three-Dimensional Scatterplots and Point Identification
showLabels

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

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

Weighted Matrix Crossproduct
subsets

Plot Output from regsubsets Function in leaps package
whichNames

Position of Row Names
vif

Variance Inflation Factors
testTransform

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

Spread-Level Plots
strings2factors

Convert Character-String Variables in a Data Frame to Factors
Anova

Anova Tables for Various Statistical Models
Predict

Model Predictions
Boot

Bootstrapping for regression models
Boxplot

Boxplots With Point Identification
Import

Import data from many file formats
ScatterplotSmoothers

Smoothers to Draw Lines on Scatterplots
Export

Export a data frame to disk in one of many formats
Contrasts

Functions to Construct Contrasts
S

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

Ellipses, Data Ellipses, and Confidence Ellipses