Hi.. Ok here is an example on how I wanted the tree to be implemented in R:
- the tree is, as you wrote, saved as a list of different tree levels - each tree level is also saved as a list of different nodes in that specific level - and for the last part, each node is then saved as a list of functions example: tree <- list(root, lvl1, lvl2) root <- list(node00) lvl1 <- list(node10, node11) lvl2 <- list(node20, node21, node22) node00 <- list(f1,f2,f3) node10 <- list(f1,f2,f3) node11 <- list(f1,f2,f3) .. note: I wrote f1, f2 and f3 in each node because it is the same function, just with the different parameter, the stock price at that node. I tried implementing a tree manually and I found out that the independences between one node and each childnode cause a heavy computation power.. (the function f3 contains f3 of the two childnodes and so on..) example: node11$f3 <- max(node11$f2, node21$f3, node22$f3) Im facing this problem even with a tree with 'only' 4-5 layers.. best thanks for any answers -- View this message in context: http://r.789695.n4.nabble.com/as-function-parameters-tp4620390p4630353.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.