leveragePlots(model, terms = ~., layout = NULL, ask, main, ...)
leveragePlot(model, ...)
"leveragePlot"(model, term.name, 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", col=palette()[1], col.lines=palette()[2], lwd=2, xlab, ylab, main="Leverage Plot", grid=TRUE, ...)
"leveragePlot"(model, ...)
lm
~.
is to plot against all numeric predictors. For example, the
specification terms = ~ . - X3
would plot against all predictors
except for X3
. If this argument is a quoted name of one of the predictors, the
added-variable plot is drawn for that predictor only.
c(1, 1)
or c(4, 3)
, the layout
of the graph will have this many rows and columns. If not set, the program
will select an appropriate layout. If the number of graphs exceed nine, you
must select the layout yourself, or you will get a maximum of nine per page.
If layout=NA
, the function does not set the layout and the user can
use the par
function to control the layout, for example to have
plots from two models in the same graphics window.
TRUE
, a menu is provided in the R Console for the
user to select the term(s) to plot.
leveragePlots
.id.n=0
for labeling no points. See
showLabels
for details of these arguments.
2
(see par
).
NULL
. These functions are used for their side effect: producing
plots.
leveragePlots
.
The model can contain factors and interactions. A leverage plot can be
drawn for each term in the model, including the constant.
leveragePlot.glm
is a dummy function, which generates an error message.
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. Sall, J. (1990) Leverage plots for general linear hypotheses. American Statistician 44, 308--315.
avPlots
leveragePlots(lm(prestige~(income+education)*type, data=Duncan))
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