iprofile: Produce Individual Time Profiles for Plotting

Description

iprofile is used for plotting individual profiles over time for objects obtained from dynamic models. It produces output for plotting recursive fitted values for individual time profiles from such models.

See mprofile for plotting marginal profiles.

Usage

# S3 method for iprofile
plot(x, nind=1, observed=TRUE, intensity=FALSE,
	add=FALSE, lty=NULL, pch=NULL, ylab=NULL, xlab=NULL,
	main=NULL, ylim=NULL, xlim=NULL, ...)

Value

iprofile returns information ready for plotting by plot.iprofile.

Arguments

x: An object of class iprofile, e.g. x = iprofile(z, plotsd=FALSE), where z is an object of class recursive, from carma, elliptic, gar, kalcount, kalseries, kalsurv, or nbkal. If plotsd is If TRUE, plots standard deviations around profile (carma and elliptic only).
nind: Observation number(s) of individual(s) to be plotted.
observed: If TRUE, plots observed responses.
intensity: If z has class, kalsurv, and this is TRUE, the intensity is plotted instead of the time between events.
add: If TRUE, the graph is added to an existing plot.

lty,pch,main,ylim,xlim,xlab,ylab: See base plot.
...: Arguments passed to other functions.

Author

J.K. Lindsey

Examples

Run this code

if (FALSE) {
## try this after you have repeated package installed
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(40,1,scale=mu(log(c(1,0.3,0.2)))),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=0.5, pshape=log(c(1,0.2)))
# plot individual profiles and the average profile
plot(iprofile(z), nind=1:2, pch=c(1,20), lty=3:4)
plot(mprofile(z), nind=1:2, lty=1:2, add=TRUE)
}