Dear Albert2002,

there is no problem with deSolve and, of course, no problem with R's modulo operator, but there are at least two errors in your model formulation:

1.) The order of the returned derivatives must be exactly the same as specified in the state variables. This is documented in the help files and mentioned in section "Troubleshooting" (11.2) in the deSolve vignette. You use:

  State <- c(Theta = 1 ,  P = 1)
  return(list(c(dP, dTheta)))

but you should use:

  State <- c(P = 1, Theta = 1)
  return(list(c(dP, dTheta)))


2.) Your model is **not a differential equation** but a difference equation. It is (1) discrete (not continuous) and returns the new state (not the derivative). As the name of deSolve suggests, this package is primarily for differential equations. Nevertheless, it can be useful for difference equations too, if one respects the distinction.

Solution A:
===========

Use the new development version of deSolve from

  http://deSolve.r-forge.r-project.org

that has a solver method "iteration" for this type of models:

out1 <- ode(func = standardmap1, y = State,parms = Parameter,
   times = Time, method = "iteration")

plot(out1)


Solution B:
===========

Rewrite your model so that it returns the 'derivative' and not the new state and use method="euler". This works already with recent versions of deSolve.

iterations <- 100
Parameter <- c(k = 0.6)
State <- c(P=1, Theta = 1 )
Time <- 0:iterations

standardmap2 <- function(Time, State, Parameter){
  with(as.list(c(State, Parameter)), {
          P1  <- (P + k * sin(Theta)) %% (2 * pi)
          Theta1 <- (P + Theta) %% (2 * pi)
        
    return(list(c(P1-P, Theta1-Theta)))
  })
}


out2 <- ode(func = standardmap2, y = State, parms = Parameter,
   times = Time, method = "euler")

plot(out2)

##------------------------------------------------------------

You may also consider to rewrite your problem in matrix form to get the full map easily and without using loops.

If you have further questions, consider to subscribe to the "dynamic models in R" mailing list:

r-sig-dynamic-mod...@r-project.org
https://stat.ethz.ch/mailman/listinfo/r-sig-dynamic-models

Hope it helps

Thomas Petzoldt

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