HH: residual.plots.lattice – R documentation

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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.

Author(s)

Richard M. Heiberger <rmh@temple.edu>

Examples

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()
     
## End(Not run)

HH

Statistical Analysis and Data Display: Heiberger and Holland

v3.1-43

GPL (>= 2)

Authors

Richard M. Heiberger

Initial release

2020-11-27