residual.plots.lattice
From HH v3.1-42
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="same",
...)
Arguments
Value
"trellis"
object.
See Also
Examples
# NOT RUN {
data(longley)
longley.lm <- lm( Employed ~ . , data=longley, x=TRUE, y=TRUE)
residual.plots.lattice(longley.lm)
# }
# NOT RUN {
longleyResid <- tempfile("longleyResid", fileext = ".pdf")
pdf(longleyResid, height=9, width=14)
print(residual.plots.lattice(longley.lm, pch=19),
A4.left=.0125, panel.width=list(5,"cm"))
dev.off()
# }
# NOT RUN {
# }
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