Description Usage Arguments Details Value See Also Examples
Get or set simulation model parameters, main or sub-equations, initial values, time steps or solvers and extract simulation results.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | parms(obj, ...)
parms(obj) <- value
main(obj, ...)
main(obj) <- value
equations(obj, ...)
equations(obj) <- value
init(obj, ...)
init(obj) <- value
inputs(obj, ...)
inputs(obj) <- value
times(obj, ...)
times(obj) <- value
solver(obj, ...)
solver(obj) <- value
#observer(obj, ...)
#observer(obj) <- value
initfunc(obj, ...)
initfunc(obj) <- value
out(obj, ...)
out(obj) <- value
 | 
| obj | A valid  | 
| value | Named list, vector, function or other data structure
(depending on the slot and model class) with the same structure as
the value returned by  | 
| ... | Reserved for method consistency. | 
These are the accessing functions for parms, times etc.
Please take care of the semantics of your model when changing slots.
All, element names, data structure and values have to correspond to
you model object definition. For example in init the applied
names must exactly correspond to the names and number (!) of state
variables. The restrictions of parms or equations are
less strict (additional values for “future use” are allowed).
The function times allows either to assign or to modify a
special vector with three elements named from, to and
by or to overwrite times with an un-named sequence (e.g.
seq(1, 100, 0.1).
To ensure object consistency function out cannot assign
arbitrary values. It can only extract or delete the contents (by
assigning NULL) of the out-slot.
A list, named vector, matrix or function (for main slot) or
list of functions (equation slot) or other appropriate data
structure depending on the class of the model object.
General explanation of the slots can be found in simecol-package.
Usage of the observer slot is found in the special help file 
observer.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | data(lv)
parms(lv)
parms(lv)       <- c(k1 = 0.2, k2 = 0.5, k3 = 0.3)
parms(lv)["k2"] <- 0.5
data(conway)
parms(conway)
parms(conway)$srv <- c(2, 2)
parms(conway)
## add a new named parameter value
parms(lv)["dummy"] <- 1
## remove dummy parameter
parms(lv) <- parms(lv)[names(parms(lv)) != "dummy"]
## simulation and extraction of outputs
lv <- sim(lv)
o <- out(lv)
## remove outputs from object
out(lv) <- NULL
## store object persistently to the disk
## Not run: 
save(lv, file = "lv.Rdata")           # in binary form
dput(as.list(lv), file = "lv-list.R") # in text form
## End(Not run)
 | 
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