Description Usage Arguments Value Author(s) See Also Examples

`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.

1 2 3 4 |

`x` |
An object of class |

`nind` |
Observation number(s) of individual(s) to be plotted. |

`observed` |
If TRUE, plots observed responses. |

`intensity` |
If z has class, |

`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. |

`iprofile`

returns information ready for plotting by
`plot.iprofile`

.

J.K. Lindsey

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
## Not run:
## 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)
## End(Not run)
``` |

rmutil documentation built on May 27, 2018, 5:03 p.m.

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