av.plots {car} | R Documentation |
These functions construct added-variable (also called partial-regression) plots for linear and generalized linear models.
av.plots(model, variable, ask=missing(variable), one.page=!ask, ...) avp(...) av.plot(model, ...) ## S3 method for class 'lm': av.plot(model, variable, labels=names(residuals(model)[!is.na(residuals(model))]), identify.points=TRUE, las=par("las"), col=palette()[2], pch=1, lwd=2, main="Added-Variable Plot", ...) ## S3 method for class 'glm': av.plot(model, variable, labels=names(residuals(model)[!is.na(residuals(model))]), identify.points=TRUE, las=par("las"), col=palette()[2], pch=1, lwd=2, main="Added-Variable Plot", type=c("Wang", "Weisberg"), ...)
model |
model object produced by lm or glm . |
variable |
variable (if it exists in the search path) or
name of variable. This argument usually is omitted for avp
or av.plots . |
ask |
if TRUE , a menu is provided in the R Console for the
user to select the term(s) to plot. |
one.page |
if TRUE (and ask=FALSE ), put all plots on one
graph. |
labels |
observation names. |
identify.points |
if TRUE , then identify points interactively. |
las |
if 0 , ticks labels are drawn parallel to the
axis; set to 1 for horizontal labels (see par ). |
col |
color for points and lines; the default is the second entry
in the current color palette (see palette
and par ). |
pch |
plotting character for points; default is 1
(a circle, see par ). |
lwd |
line width; default is 2 (see par ). |
main |
title for plot. |
type |
if "Wang" use the method of Wang (1985);
if "Weisberg" use the method in the Arc software associated with
Cook and Weisberg (1999). |
... |
arguments to be passed down to av.plot.lm or
av.plot.glm . |
The function intended for direct use is av.plots
(for which avp
is an abbreviation). By default, these functions are used interactively
through a text menu.
The model can contain factors and interactions. An added-variable plot can be drawn for each column of the model matrix, including the constant.
NULL
. These functions are used for their side effect: producing
plots.
John Fox jfox@mcmaster.ca
Cook, R. D. and Weisberg, S. (1999) Applied Regression, Including Computing and Graphics. Wiley.
Fox, J. (1997) Applied Regression, Linear Models, and Related Methods. Sage.
Wang, P C. (1985) Adding a variable in generalized linear models. Technometrics 27, 273–276.
cr.plots
, ceres.plots
, leverage.plots
## Not run: av.plots(lm(prestige~income+education+type, data=Duncan)) av.plots(glm(partic != "not.work" ~ hincome + children, data=Womenlf, family=binomial)) ## End(Not run)