# cr.plots

From car v1.0-18
by John Fox

##### Component+Residual (Partial Residual) Plots

These functions construct component+residual plots (also called partial-residual plots) for linear and generalized linear models.

- Keywords
- hplot, regression

##### Usage

```
cr.plots(model, variable, ask=missing(variable), one.page=!ask,
span=0.5, ...)
crp(...)
cr.plot(model, ...)
## S3 method for class 'lm':
cr.plot(model, variable, order=1, line=TRUE, smooth=TRUE, iter,
span=0.5, las=par('las'), col=palette()[2], pch=1, lwd=2,
main="Component+Residual Plot", ...)
## S3 method for class 'glm':
cr.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
`crp`

or`cr.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. - order
- order of polynomial regression performed for predictor to be plotted.
- line
`TRUE`

to plot least-squares line.- smooth
`TRUE`

to plot nonparametric-regression (lowess) line.- iter
- number of robustness iterations for nonparametric-regression smooth; defaults to 3 for a linear model and to 0 for a non-Gaussian glm.
- span
- span for lowess smoother.
- 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

The function intended for direct use is `cr.plots`

(for which `crp`

is an abbreviation). By default, these functions are used interactively
through a text menu.
The model cannot contain interactions, but can contain factors.
Parallel boxplots of the partial residuals are drawn for the levels
of a factor.

##### 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

```
data(Womenlf)
cr.plots(glm(partic != "not.work" ~ hincome + children,
data=Womenlf, family=binomial))
data(Prestige)
cr.plots(lm(prestige~income+education, data=Prestige),
variable="income")
```

*Documentation reproduced from package car, version 1.0-18, License: GPL version 2 or newer*

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