# ceres.plots

0th

Percentile

##### Ceres Plots

These functions calculate Ceres plots for linear and generalized linear model.

Keywords
hplot, regression
##### Usage
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, ...)
##### Arguments
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.
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.
##### Details

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.

##### Value

• NULL. These functions are used for their side effect: producing plots.

##### References

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.

cr.plots, av.plots

##### Aliases
• ceres.plots
• ceres.plot
• ceres.plot.lm
• ceres.plot.glm
##### Examples
data(Prestige)
ceres.plots(lm(prestige~income+education+type, data=Prestige))
Documentation reproduced from package car, version 1.0-14, License: GPL version 2 or newer

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