residual.plots.lattice

From HH v3.1-5 by Richard Heiberger

Construct four sets of regression plots: Y against X, residuals against X, partial residuals against X, partial residuals against each X adjusted for all the other X columns.

Construct four sets of regression plots. Response variable $Y$ against each $X_j$, residuals $e$ against each $X_j$, partial residuals plots of $e^j$ against each $X_j$, added variable plots of $e^j$ against the residuals of each $X_j$ adjusted for the other $X$ columns. The slopes shown in the panels of both bottom rows are equal to the regression coefficients.

Keywords: dplot

Usage

residual.plots.lattice(lm.object, X=dft$x, layout=c(dim(X)[2],1),
                       par.strip.text=list(cex=.8),
                       scales.cex=.6,
                       na.action=na.pass,
                       y.relation="free",
                       ...)

Arguments

lm.object: lm.object
X
layout, par.strip.text, ...: lattice arguments. See xyplot.
scales.cex: cex for the scales argument in xyplot.
na.action: See na.action.
y.relation: relation for the y argument to scales argument in xyplot.

Value

"trellis" object.

Examples

data(longley)
     longley.lm <- lm( Employed ~ . , data=longley, x=TRUE, y=TRUE)
     residual.plots.lattice(longley.lm)

Documentation reproduced from package HH, version 3.1-5, License: GPL (>= 2)

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