Description Usage Arguments Details Value Author(s) References See Also Examples
These functions construct component+residual plots (also called partial-residual plots) for linear and generalized linear models.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | crPlots(model, terms = ~., layout = NULL, ask, main,
...)
crp(...)
crPlot(model, ...)
## S3 method for class 'lm'
crPlot(model, variable,
id.method = list(abs(residuals(model, type="pearson")), "x"),
labels,
id.n = if(id.method[1]=="identify") Inf else 0,
id.cex=1, id.col=palette()[1], id.location="lr",
order=1, line=TRUE, smoother=loessLine,
smoother.args=list(), smooth, span,
col=palette()[1], col.lines=palette()[-1],
xlab, ylab, pch=1, lwd=2, grid=TRUE, ...)
|
model |
model object produced by |
terms |
A one-sided formula that specifies a subset of the predictors.
One component-plus-residual plot is drawn for each term. The default
|
layout |
If set to a value like |
ask |
If |
main |
The title of the plot; if missing, one will be supplied. |
... |
|
variable |
A quoted string giving the name of a variable for the horizontal axis |
id.method,labels,id.n,id.cex,id.col,id.location |
Arguments for the labelling of
points. The default is |
order |
order of polynomial regression performed for predictor to be plotted; default |
line |
|
smoother |
Function to add a nonparametric smooth. |
smoother.args |
see |
smooth, span |
these arguments are included for backwards compatility:
if |
col |
color for points; the default is the first entry
in the current color 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 light-gray background grid is put on the graph |
The function intended for direct use is crPlots
, for which crp
is an abbreviation.
The model cannot contain interactions, but can contain factors. Parallel boxplots of the partial residuals are drawn for the levels of a factor.
NULL
. These functions are used for their side effect of producing
plots.
John Fox jfox@mcmaster.ca
Cook, R. D. and Weisberg, S. (1999) Applied Regression, Including Computing and Graphics. Wiley.
Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.
Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.
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