plot.residuals: Plot Residuals

In rmutil: Utilities for Nonlinear Regression and Repeated Measurements Models

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 class '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(s)

J.K. Lindsey

See Also

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

Examples

## Not run: 
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")

## End(Not run)

rmutil documentation built on Oct. 29, 2022, 1:08 a.m.