ceresPlots  R Documentation 
These functions draw Ceres plots for linear and generalized linear models.
ceresPlots(model, ...)
## Default S3 method:
ceresPlots(model, terms = ~., layout = NULL, ask, main,
...)
ceresPlot(model, ...)
## S3 method for class 'lm'
ceresPlot(model, variable, id=FALSE,
line=TRUE, smooth=TRUE, col=carPalette()[1], col.lines=carPalette()[1],
xlab, ylab, pch=1, lwd=2, grid=TRUE, ...)
## S3 method for class 'glm'
ceresPlot(model, ...)
model 
model object produced by 
terms 
A onesided formula that specifies a subset of the regressors.
One componentplusresidual plot is drawn for each term. The default

layout 
If set to a value like 
ask 
If 
main 
Overall title for any array of cerers plots; if missing a default is provided. 
... 

variable 
A quoted string giving the name of a variable for the horizontal axis 
id 
controls point identification; if 
line 

smooth 
specifies the smoother to be used along with its arguments; if 
col 
color for points; the default is the first entry
in the current car palette (see 
col.lines 
a list of at least two colors. The first color is used for the
ls line and the second color is used for the fitted lowess line. To use
the same color for both, use, for example, 
xlab,ylab 
labels for the x and y axes, respectively. If not set appropriate labels are created by the function. 
pch 
plotting character for points; default is 
lwd 
line width; default is 
grid 
If TRUE, the default, a lightgray background grid is put on the graph 
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 ceresPlots
.
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. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.
Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.
crPlots
, avPlots
, showLabels
ceresPlots(lm(prestige~income+education+type, data=Prestige), terms= ~ .  type)
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