HH (version 3.1-47)

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, print.latticeresids

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 {
     
# }