| ceres.plots {car} | R Documentation |
These functions calculate Ceres plots for linear and generalized linear model.
ceres.plots(model, variable, ask=missing(variable), one.page=!ask,
span=0.5, ...)
ceres.plot(model, ...)
## S3 method for class 'lm':
ceres.plot(model, variable, line=TRUE, smooth=TRUE, span=0.5, iter,
las=par('las'), col=palette()[2], pch=1, lwd=2, main="Ceres Plot", ...)
## S3 method for class 'glm':
ceres.plot(model, ...)
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
ceres.plots. |
ask |
if TRUE, a menu is provided in the R Console for the
user to select the variable(s) to plot, and to modify the span for the smoother
used to draw a nonparametric-regression line on the plot. |
one.page |
if TRUE (and ask=FALSE), put all plots on one
graph. |
span |
span for lowess smoother. |
iter |
number of robustness iterations for nonparametric-regression smooth; defaults to 3 for a linear model and to 0 for a non-Gaussian glm. |
line |
TRUE to plot least-squares line. |
smooth |
TRUE to plot nonparametric-regression (lowess) line. |
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. |
... |
pass arguments down. |
Ceres plots are a generalization of component+residual (partial residual) plots that are less prone to leakage of nonlinearity among the predictors.
The function intended for direct use is ceres.plots.
By default, this function is used interactively
through a text menu.
The model cannot contain interactions, but can contain factors. Factors may be present in the model, but Ceres plots cannot be drawn for them.
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.
## Not run: ceres.plots(lm(prestige~income+education+type, data=Prestige)) ## End(Not run)