# residual.plots.lattice

From HH v3.1-35
0th

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##### 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),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.

residual.plots, print.latticeresids

##### Aliases
• residual.plots.lattice
##### Examples
# NOT RUN {
data(longley)
longley.lm <- lm( Employed ~ . , data=longley, x=TRUE, y=TRUE)
residual.plots.lattice(longley.lm)

# }
# NOT RUN {
pdf("longley-resid.pdf", height=9, width=14)
print(residual.plots.lattice(longley.lm, pch=19),
A4.left=.0125, panel.width=list(5,"cm"))
dev.off()

# }
# NOT RUN {

# }

Documentation reproduced from package HH, version 3.1-35, License: GPL (>= 2)

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