add.dosing | 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.dosing(...)
add.dosing( eventTable, dose, nbr.doses = 1L, dosing.interval = 24, dosing.to = 1L, rate = NULL, amount.units = NA_character_, start.time = 0, do.sampling = FALSE, time.units = NA_character_, ... )
eventTable |
eventTable object; When accessed from object it would be |
dose |
numeric scalar, dose amount in |
nbr.doses |
integer, number of doses; |
dosing.interval |
required numeric scalar, time between doses
in |
dosing.to |
integer, compartment the dose goes into (first compartment by default); |
rate |
for infusions, the rate of infusion (default is
|
amount.units |
optional string indicating the dosing units.
Defaults to |
start.time |
required dosing start time; |
do.sampling |
logical, should observation sampling records be
added at the dosing times? Defaults to |
time.units |
optional string indicating the time units.
Defaults to |
... |
Other parameters passed to |
eventTable with updated dosing (note the event table will be updated anyway)
Matthew L. Fidler
Matthew L Fidler, Wenping Wang
Wang W, Hallow K, James D (2015). "A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R." CPT: Pharmacometrics \& Systems Pharmacology, 5(1), 3-10. ISSN 2163-8306, <URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728294/>.
eventTable
, add.sampling
,
add.dosing
, et
,
etRep
, etRbind
,
RxODE
library(RxODE) library(units) ## Model from RxODE tutorial mod1 <-RxODE({ 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; 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 RxODE 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)
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