CookD: Calculates and plots Cook's distances for a Linear (Mixed)...

Description Usage Arguments Author(s) Examples

View source: R/CookD.R

Description

This function produces Cook's distance plots for a linear model obtained from functions aov, lm, glm, gls, lme, or lmer.

Usage

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CookD(model, group=NULL, plot=TRUE, idn=3, newwd=TRUE)

Arguments

model

Model object returned by aov, lm, glm, gls, lme, and lmer.

group

Name (in "quotes") for indicating how observations are deleted for Cook's distance calculation. If group!=NULL then deletions will be along levels of group variable, otherwise, will be along individual observations.

plot

A logical variable; if it is true, a plot of Cook's distance will be presented. The default is TRUE.

idn

An integer indicating the number of top Cook's distances to be labelled in the plot. The default value is 3.

newwd

A logical variable to indicate whether to print graph in a new window. The default value is TRUE.

Author(s)

Dongwen Luo, Siva Ganesh and John Koolaard

Examples

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library(predictmeans)
Oats$nitro <- factor(Oats$nitro)
fm <- lme(yield ~ nitro*Variety, random=~1|Block/Variety, data=Oats)
# library(lme4)
# fm <- lmer(yield ~ nitro*Variety+(1|Block/Variety), data=Oats)
CookD(fm)

Example output

Loading required package: lme4
Loading required package: Matrix
Loading required package: nlme

Attaching package: 'nlme'

The following object is masked from 'package:lme4':

    lmList

predictmeans documentation built on May 29, 2017, 10:39 p.m.