tactile (version 0.2.2)

xyplot.lm: Lattice plot diagnostics for lm objects

Description

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

Usage

# 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,
  ...
)

Value

A list of trellis objects or a single trellis object.

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, 5, 6.

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().

Author

Original by John Maindonald and Martin Maechler. Adaptation to lattice by Johan Larsson.

See Also

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

Examples

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