Re: [R] 2D Random walk

This should work. You have to return an object from a function; you can not try to reference an object within a function. So the value is returned and saved in an object called 'rw' since that is how you are referening it. walk.2d<-function(n) { rw <- matrix(0, ncol = 2, nrow = n) # generate t

Re: [R] 2D Random walk

HI Jholtman, walk.2d<-function(n) { rw <- matrix(0, ncol = 2, nrow = n) # generate the indices to set the deltas indx <- cbind(seq(n), sample(c(1, 2), n, TRUE)) # now set the values rw[indx] <- sample(c(-1, 1), n, TRUE) # cumsum the columns rw[,1] <- cumsum(rw[, 1]) rw[,2] <- cumsum(rw[,

Re: [R] 2D Random walk

Please change the code to a user defined function. -- View this message in context: http://r.789695.n4.nabble.com/2D-Random-walk-tp3069557p3632734.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https:

Re: [R] 2D Random walk

Hi, I saw your code and try running it, it works!! Can you please write this code in a user defined function. I tried making it with making a function and cant run it. -- View this message in context: http://r.789695.n4.nabble.com/2D-Random-walk-tp3069557p3632459.html Sent from the R help maili

[R] 2D random walk with traps convert C++ code to R code

Hello, I have a C++ code for 2D random walks with traps and I want to convert it in a R code with its syntaxs, can anyone help??? It's easy for me to adapt the body but I want help with the beginig (variable declaration) and th end exporting the output to a file ( like write.table() or sin

Re: [R] 2D Random walk

Here is a use of color to show what the path is and following up on Patrick's post to make the code a little more efficient: # compute path n <- 1 rw <- matrix(0, ncol = 2, nrow = n) # generate the indices to set the deltas indx <- cbind(seq(n), sample(c(1, 2), n, TRUE)) # now set the values

Re: [R] 2D Random walk

Hopefully someone has a good suggestion for your question. I'd just like to point out that the generation of the random walk is pretty much optimized for worst performance. A 'for' loop is not necessary and growing the objects could be a very significant drag. See Circles 2 and 3 of 'The R Infe

[R] 2D Random walk

I've wrote some code to simulate a random walk in 2 dimensions on a lattice. Basically I want to add something in to make it plot it point by point so you can see what is going on. Heres my code for the random walk in 2d RW2D<-function(N) { i<-0 xdir<-0 ydir<-0 xpos<-vector()