residual.plots.lattice

0th

Percentile

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
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, print.latticeresids

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

     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()
Documentation reproduced from package HH, version 3.1-23, License: GPL (>= 2)

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