I have a set of functions: Probability <- function(N, f, w, b, l, n, q) { #N is the number of lymph nodes #f is the fraction of Dendritic cells (in the correct node) that have the antigen #w is time in terms of hours #b is the starting position (somewhere in the node or somewhere in the gap between nodes. It is a number between 1 and (x+t)) #q is the length of the time step #l is the LN transit time in hours #n is the gap transit time in hours y <- n/q #y is the number of time steps it takes to traverse the gap t <- l/q #t is the number of time steps it takes to traverse a node. m <-(w%/%q) A <- 1/N B <- 1-A C <- 1-f D <- (((m+b-1)%%(y+t))+1) if (b<=t) {########starts inside node if (m<=(t-b)){return(B + A*(C^m))} # start & end in first node if (D<=t) { # we finish in a node a <- (B + A*(C^(t-b))) #first node b <- ((B + A*(C^t))^(floor((m+b)/(y+t))-1)) # intermediate nodes (if any) c <- (B + A*(C^D)) # last node return(a*b*c) } else {return(Probability(N, f, ((m*q)-q), b, l, n, q))} ## finish in a gap } else {###### starts outside node if (m<=(y+t-b)) {return(1)} #also end in the gap if (D<=t) { #end in a node b <- ((B + A*(C^t))^(floor((m/(y+t))))) c <- (B + (A*(C^D))) return(b*c) } else {return(Probability(N, f, ((m*q)-q), b, l, n, q))} #outside node } }
step.2 <- function(N, f, w, l, n, q) {##the sum of all the possible position (times the probability) y <- n/q t <- l/q A <- sapply(1:(y+t), function(x) Probability(N=N, f=f, w=w, b=x, l=l, n=n, q=q)) B <- sum(A) C <- 1/(y+t) return(B*C) } step.3 <- function(N, f, w, l, n, q, X) { #X is the number of cells return((1-((step.2(N, f, w, l, n, q))^X)))} when I graph the Probability as a function of the transit time I get the following graph: tmax = 30 tlist <- seq(from=0, to=tmax, by=1) cells = 1000 plot(tlist, sapply(tlist, function(x) step.3(N=500, f=0.001, w=24, l=x, n=10, q=0.1, X=cells)), type='l', xlab="LN Transit Time (hours)", ylab="Probability after 24 hours", main ="The Effect of DC frequency on the Dip - 1000 cells", ylim = c(0,1)) lines(tlist, sapply(tlist, function(x) step.3(N=500, f=0.005, w=24, l=x, n=10, q=0.1, X=cells)), col="coral") lines(tlist, sapply(tlist, function(x) step.3(N=500, f=0.01, w=24, l=x, n=10, q=0.1, X=cells)), col="turquoise") lines(tlist, sapply(tlist, function(x) step.3(N=500, f=0.05, w=24, l=x, n=10, q=0.1, X=cells)), col="blue") lines(tlist, sapply(tlist, function(x) step.3(N=500, f=0.1, w=24, l=x, n=10, q=0.1, X=cells)), col="red") lines(tlist, sapply(tlist, function(x) step.3(N=500, f=0.5, w=24, l=x, n=10, q=0.1, X=cells)), col="green", type = 'l') legend((tmax*0.75), 0.5, c("f=0.001", "f=0.005", "f=0.01", "f=0.05", "f=0.1", "f=0.5"), fill = c("black", "coral", "turquoise", "blue", "red", "green")) http://r.789695.n4.nabble.com/file/n3748957/Picture_2.png Why do the top three lines converge? Is it some bug in my function? -- View this message in context: http://r.789695.n4.nabble.com/Why-does-the-graph-converge-tp3748957p3748957.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.