Lattice plot diagnostics for lm objects

Lattice plot diagnostics for lm objects, mostly mimicking the behavior of stats::plot.lm() but based on lattice::xyplot() instead.

# S3 method for lm
xyplot(x, data = NULL, which = c(1:3, 5), main = FALSE,
  id.n = 3, labels.id = names(residuals(x)), cex.id = 0.75,
  cook.levels = c(0.5, 1), label.pos = c(4, 2), layout = NULL, ...)

Arguments

x	lm object, typically result of lm or glm.
data	Only provided for method consistency and is ignored.
which	if a subset of the plots is required, specify a subset of the numbers 1:6
main	if TRUE plots default titles. Can also be a list or character vector of length 6.
id.n	number of points to be labelled in each plot, starting with the most extreme.
labels.id	vector of labels, from which the labels for extreme points will be chosen. NULL uses observation numbers.
cex.id	magnification of point labels.
cook.levels	levels of Cook's distance at which to draw contours.
label.pos	positioning of labels, for the left half and right half of the graph respectively, for plots 1-3.
layout	a numeric vector with [columns, rows] to use in the call to gridExtra::grid.arrange(), or a layout matrix which will then be passed as the layout_matrix in grid.arrange().
…	arguments to be passed to lattice::xyplot().

Value

A list of trellis objects or a single trellis object.

See also

stats::lm(), stats::plot.lm(), lattice::xyplot()

Examples

fit <- lm(Sepal.Length ~ Sepal.Width, data = iris)
xyplot(fit)
xyplot(fit, which = 5)