# ceres.plots

From car v1.2-6
by John Fox

##### 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`

. - 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.

##### 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.

##### See Also

##### Examples

`ceres.plots(lm(prestige~income+education+type, data=Prestige))`

*Documentation reproduced from package car, version 1.2-6, License: GPL (>= 2)*

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