cookDist: Visualize Cook's distances

In glmxdiag: A Collection of Graphic Tools for GLM Diagnostics and some Extensions

Description

Graphical visualization of Cook's distances for each observation within input model.

Usage

cookDist(object, label.id, n.label.id, xlab, ylab, pos, ...)

Arguments

object	object of class 'influence', see Details.
label.id	labels of observations, should be a vector with n elements.
n.label.id	number of observations with highest Cook's distance to label in the plot.
xlab	title for the x axis.
ylab	title for the y axis.
pos	position of observations labels. Values 1, 2, 3, 4 respectively indicate below, left, above, right.
...	further arguments passed to plot.

Details

This function only works with objects given as output from influenceDiag, it takes Cook's distances and plot them as vertical segments.

High values are associated to high influence within the model.

Value

Doesn't return a value, called for side effects.

Author(s)

Giuseppe Reale

Examples

data("mtcars")
mod <- glm(mpg ~ cyl + hp + carb, family = Gamma, data = mtcars)
inf <- influenceDiag(mod)
cookDist(inf, label.id = rownames(mtcars))

glmxdiag documentation built on Jan. 10, 2022, 9:07 a.m.