Gibson, Tyler F wrote:
> To whomever may be of help,
>
> I am a student in a graduate modeling class at the University of
> North Carolina at Wilmington. I am trying to get a STELLA model
> converted into R. I am in the process of trying to 're-write' the
> script into R, but I seem to be missing pieces (i.e. parm values)
> that are keeping me from being able to replicate this model into R.
> Does anyone have an idea of a possible solution to my problem? Are
> there conversion programs or packages available that can convert
> STELLA models into R format?
Hi Gibson,
I'm working with dynamic systems in R for several years but I don't know
about any conversion programs.
The good news: AFAIK from old times, STELLA has also an equation view,
so it should be easy to extract the equations from there. As I remember
from my scripts, Stella used the following notation:
X(t) = X(t-dt) + mu * dt
INIT X = 1
INFLOWS: mu = X * k
k = 0.1
so you have to rewrite them as differential equations:
mu = X * k
dX/dt = mu
and very similar in R:
mu <- X * k
dX <- mu
Depending on your implementation, parameters may be either constants
(circle symbol) like the "k" above or hard-coded (and therefore
"hidden"). How large is your model?
> Thank you very much for you time, and I hope to hear back from you
> soon.
>
> -Tyler Gibson
Hope it helps
Thomas P.
## Here is an example implementation using the simecol-package.
## It is also possible in the "plain style" according to the
## examples given in package deSolve.
library(simecol)
growth <- new("odeModel",
main = function(t, init, parms) {
with(as.list(c(init, parms)), {
mu <- X * k
dX <- mu
list(c(dX))
})
},
init = c(X = 1),
parms = c(k = 0.1),
times = seq(0, 10, 0.1),
solver = "lsoda"
)
growth <- sim(growth)
plot(growth)
View(out(growth))
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