infIndexPlot {car} | R Documentation |
Provides index plots of Cook's distances, leverages, Studentized residuals, and outlier significance levels for a regression object.
infIndexPlot(model, ...) influenceIndexPlot(model, ...) ## S3 method for class 'lm' infIndexPlot(model, vars=c("Cook", "Studentized", "Bonf", "hat"), main="Diagnostic Plots", labels, id.method = "y", id.n = if(id.method[1]=="identify") Inf else 0, id.cex=1, id.col=palette()[1], grid=TRUE, ...)
model |
A regression object of class lm or glm . |
vars |
All the quantities listed in this argument are plotted. Use "Cook"
for Cook's distances, "Studentized" for Studentized
residuals, "Bonf" for Bonferroni p-values for an outlier test, and
and "hat" for hat-values (or leverages). Capitalization is optional.
All may be abbreviated by the first one or more letters.
|
main |
main title for graph |
id.method,labels,id.n,id.cex,id.col |
Arguments for the labelling of
points. The default is id.n=0 for labeling no points. See
showLabels for details of these arguments.
|
grid |
If TRUE, the default, a light-gray background grid is put on the graph |
... |
Arguments passed to plot |
Used for its side effect of producing a graph. Produces four index plots of Cook's distance, Studentized Residuals, the corresponding Bonferroni p-values for outlier tests, and leverages.
Sanford Weisberg, sandy@stat.umn.edu
Cook, R. D. and Weisberg, S. (1999) Applied Regression, Including Computing and Graphics. Wiley.
Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.
Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.
Weisberg, S. (2005) Applied Linear Regression, Third Edition. Wiley.
cooks.distance
, rstudent
,
outlierTest
, hatvalues
m1 <- lm(prestige ~ income + education + type, Duncan) influenceIndexPlot(m1)