plot.residuals {rmutil} | R Documentation |
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 |
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)
[Package rmutil version 1.1.10 Index]