rmutil (version 1.1.10)

plot.residuals: Plot Residuals

Description

plot.residuals is used for plotting residuals from models obtained from dynamic models for given subsets of the data.

Usage

# S3 method for residuals
plot(x, X=NULL, subset=NULL, ccov=NULL, nind=NULL,
	recursive=TRUE, pch=20, ylab="Residual", xlab=NULL,
	main=NULL, ...)

Arguments

x

An object of class recursive, from carma, gar, kalcount, kalseries, kalsurv, or nbkal.

X

Vector of of values for the x-axis. If missing, time is used. It can also be specified by the strings "response" or "fitted".

subset

A logical vector defining which observations are to be used.

ccov

If the name of a time-constant covariate is supplied, separate plots are made for each distinct value of that covariate.

nind

Observation number(s) of individual(s) to be plotted.

recursive

If TRUE, plot recursive residuals, otherwise ordinary residuals.

pch,ylab,xlab,main,...

Plotting control options.

Author

J.K. Lindsey

See Also

carma, gar, kalcount, kalseries, kalsurv, nbkal plot.iprofile, plot.mprofile.

Examples

if (FALSE) {
library(repeated)
times <- rep(1:20,2)
dose <- c(rep(2,20),rep(5,20))
mu <- function(p) exp(p[1]-p[3])*(dose/(exp(p[1])-exp(p[2]))*
	(exp(-exp(p[2])*times)-exp(-exp(p[1])*times)))
shape <- function(p) exp(p[1]-p[2])*times*dose*exp(-exp(p[1])*times)
conc <- matrix(rgamma(40,2,scale=mu(log(c(1,0.3,0.2)))/2),ncol=20,byrow=TRUE)
conc[,2:20] <- conc[,2:20]+0.5*(conc[,1:19]-matrix(mu(log(c(1,0.3,0.2))),
	ncol=20,byrow=TRUE)[,1:19])
conc <- ifelse(conc>0,conc,0.01)
z <- gar(conc, dist="gamma", times=1:20, mu=mu, shape=shape,
	preg=log(c(1,0.4,0.1)), pdepend=0.1, pshape=log(c(1,0.2)))
plot.residuals(z, subset=1:20, main="Dose 1")
plot.residuals(z, x="fitted", subset=1:20, main="Dose 1")
plot.residuals(z, x="response", subset=1:20, main="Dose 1")
}