setForcings: Generate interpolation spline for the forcings and write into...

In dlill/cOde2ndsens: Automated C Code Generation for Use with the 'deSolve' and 'bvpSolve' Packages

Description

Generate interpolation spline for the forcings and write into list of matrices

Usage

setForcings(func, forcings)

Arguments

func	result from funC()
forcings	data.frame with columns name (factor), time (numeric) and value (numeric)

Details

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.

Value

list of matrices with time points and values assigned to the forcings interface of deSolve

Examples

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) 

dlill/cOde2ndsens documentation built on May 30, 2019, 1:37 p.m.