Plot Individual Time Profiles

Usage

plot.iprofile(z, nind=1, obs=TRUE, add=FALSE, plotsd=FALSE, lty=NULL,
	pch=NULL, ylab="Recursive fitted value", xlab="Time",
	main=NULL, ylim=NULL, xlim=NULL, ...)

Arguments

z An object of class recursive, from carma, gar, kalcount, kalseries, kalsurv, or nbkal.
nind Observation number(s) of individual(s) to be plotted.
obs If TRUE, plots observed responses.
add If TRUE, the graph is added to an existing plot.
plotsd If TRUE, plots standard deviations around profile (carma only).
others Plotting control options.

Value

plot.iprofile is used for plotting individual profiles over time for models obtained from Kalman fitting. See plot.profile for plotting marginal profiles.

Author(s)

J.K. Lindsey

See Also

carma, gar, kalcount, kalseries, kalsurv, nbkal plot.profile plot.residuals.

Examples

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,mu(log(c(1,0.3,0.2)))),ncol=20,byrow=T)
conc[,2:20] <- conc[,2:20]+0.5*(conc[,1:19]-matrix(mu(log(c(1,0.3,0.2))),
	ncol=20,byrow=T)[,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.profile(z, nind=1:2, lty=1:2, add=T)

[Package Contents]