HH (version 3.1-19)

residual.plots.lattice: 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.

Description

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.

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="same",
                       ...)

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.

See Also

residual.plots

Examples

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

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