## Solving Differential Equations in R – Chapter 11

``````## =============================================================================
## R-Code to make figure 11.6 from the book:
## K. Soetaert, J. Cash and F. Mazzia, 2012.
## Solving differential equations in R. UseR, Springer, 248 pp.
## http://www.springer.com/statistics/computational+statistics/book/978-3-642-28069-6.
## implemented by Karline Soetaert
## =============================================================================

## =============================================================================
## Diagram of the "measel" model, BVP chapter
## =============================================================================

require(diagram)

pm <- par(mar = c(0, 0, 0, 0))
cex1 <- 1.5
openplotmat()
names <- c(expression(Susceptible~(y[1])), "", expression(Latent~(y[2])),
expression(Infective~(y[3])))

pos <- matrix(ncol = 2, byrow = TRUE,
data = c(0.25, 0.75, 0.45, 0.5,
0.85, 0.5,  0.25, 0.25))
M <- matrix(nrow = 4, byrow = TRUE, data = c(0, 0, 0, 0,
1, 0, 0, 1,
0, 1, 0, 0,
0, 0, 1, 0))
arr.length <- M
M <- as.data.frame(M)
M[2,1] <- M[2,4] <-""
M[3,2] <-"beta * y[1]* y[3]"
M[4,3] <-"y[2]/lambda"

pp <- straightarrow (pos[1,] + c(0,0.2), pos[1,],
arr.pos = 0.4, arr.type = "triangle")
text(pp[1]+0.035, pp[2], expression(mu), cex = cex1)

mv <- pos[4,]
pp <- bentarrow(mv, mv - c(0.12, 0.15),
arr.pos = 1, arr.type = "triangle")
text(pp[1]+0.05, pp[2], expression(y3/eta), cex = cex1)

arr.length[] <- 0.4
arr.length[[2,1]] <- arr.length[[2, 4]] <- 0

pp<-plotmat(M, pos = pos, curve = 0, name = names, lwd = 1, cex = cex1,
box.lwd = 2, box.size = c(0.135, 0, 0.135,0.135),
box.type = c("square", "none", "square","square"),
arr.type = "triangle", dr = 0.001,
box.prop = c(0.35, 0.35, 0.35, 0.35),
arr.lwd = 2, arr.length = arr.length,
arr.pos = 0.4, add = TRUE, box.cex = 1.45)
par(mar = pm)``````

Go back