setForcings | R Documentation |
Generate interpolation spline for the forcings and write into list of matrices
setForcings(func, forcings)
func |
result from funC() |
forcings |
data.frame with columns name (factor), time (numeric) and value (numeric) |
Splines are generated for each name in forcings and both, function value and first derivative are evaluated at the time points of the data frame.
list of matrices with time points and values assigned to the forcings interface of deSolve
## Not run: f <- c(x = "-k*x + a - b") func <- funC(f, forcings = c("a", "b")) forcData <- rbind( data.frame(name = "a", time = c(0, 1, 10), value = c(0, 5, 2)), data.frame(name = "b", time = c(0, 5, 10), value = c(1, 3, 6))) forc <- setForcings(func, forcData) ## End(Not run)
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