add.sampling | R Documentation |
This adds a dosing event to the event table. This is provided for
piping syntax through magrittr. It can also be accessed by
eventTable$add.sampling()
add.sampling(eventTable, time, time.units = NA)
eventTable |
An eventTable object. When accessed from object it would be |
time |
a vector of time values (in |
time.units |
an optional string specifying the time
units. Defaults to the units specified when the
|
eventTable with updated sampling. (Note the event table will be updated even if you don't reassign the eventTable)
Matthew L Fidler, Wenping Wang
Wang W, Hallow K, James D (2015). "A Tutorial on rxode2: Simulating Differential Equation Pharmacometric Models in R." CPT: Pharmacometrics and Systems Pharmacology, 5(1), 3-10. ISSN 2163-8306
eventTable
, add.sampling
,
add.dosing
, et
,
etRep
, etRbind
,
rxode2
## Not run:
library(rxode2)
library(units)
# Model from rxode2 tutorial
# Using a nlmixr2 style function
mod1 <-function(){
ini({
KA <- 2.94E-01
CL <- 1.86E+01
V2 <- 4.02E+01
Q <- 1.05E+01
V3 <- 2.97E+02
Kin <- 1
Kout <- 1
EC50 <- 200
})
model({
C2 <- centr/V2
C3 <- peri/V3
d/dt(depot) <- -KA*depot
d/dt(centr) <- KA*depot - CL*C2 - Q*C2 + Q*C3
d/dt(peri) <- Q*C2 - Q*C3
d/dt(eff) <- Kin - Kout*(1-C2/(EC50+C2))*eff
})
}
## These are making the more complex regimens of the rxode2 tutorial
## bid for 5 days
bid <- et(timeUnits="hr") |>
et(amt=10000,ii=12,until=set_units(5, "days"))
## qd for 5 days
qd <- et(timeUnits="hr") |>
et(amt=20000,ii=24,until=set_units(5, "days"))
## bid for 5 days followed by qd for 5 days
et <- seq(bid,qd) |>
et(seq(0,11*24,length.out=100))
bidQd <- rxSolve(mod1, et)
plot(bidQd, C2)
## Now Infusion for 5 days followed by oral for 5 days
## note you can dose to a named compartment instead of using the compartment number
infusion <- et(timeUnits = "hr") |>
et(amt=10000, rate=5000, ii=24, until=set_units(5, "days"), cmt="centr")
qd <- et(timeUnits = "hr") |>
et(amt=10000, ii=24, until=set_units(5, "days"), cmt="depot")
et <- seq(infusion,qd)
infusionQd <- rxSolve(mod1, et)
plot(infusionQd, C2)
## 2wk-on, 1wk-off
qd <- et(timeUnits = "hr") |>
et(amt=10000, ii=24, until=set_units(2, "weeks"), cmt="depot")
et <- seq(qd, set_units(1,"weeks"), qd) |>
add.sampling(set_units(seq(0, 5.5,by=0.005),weeks))
wkOnOff <- rxSolve(mod1, et)
plot(wkOnOff, C2)
## You can also repeat the cycle easily with the rep function
qd <-et(timeUnits = "hr") |>
et(amt=10000, ii=24, until=set_units(2, "weeks"), cmt="depot")
et <- etRep(qd, times=4, wait=set_units(1,"weeks")) |>
add.sampling(set_units(seq(0, 12.5,by=0.005),weeks))
repCycle4 <- rxSolve(mod1, et)
plot(repCycle4, C2)
## End(Not run)
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