search for: p_ij

Hi, I got 1000 NxN matrices grouped in one array. I want one matrix in which p_ij is the average of all the 1000 matrices in the array. Here's what I'm trying to do: # P is the NxNx1000 array for(i in 1:N) for(j in 1:N) for(k in 1: 1000) mymat[ i, j ] <- mean( P [i , j , k ] ) Otherwise, I could have a NxNx1000 vector, and get the N^2 means of the 1+ (N^2)*(0: 999...

Hi all, I'm having issues coding a random walk on a fully connected, undirected graph G with probability transition matrix P = (p_ij). Here is what I have so far ... for(i in 1:n){ for(m in 1:M){ x <- as.vector(matrix(rep(0,N+1),nc=N+1)) x[1] <- i for(k in 2:N+1){ y <- as.vector(matrix(rep(0,n),nc=n)) r <- runif(1) c <- c(0,cumsum(P[x[k-1],])) for(j in 1:n){ y[j] <- (r >= c[j] &amp...

Hi all, I am working for nest box occupancy data for birds and would like to construct a Markov transition matrix, to derive transition probabilities for ALL years of the study (not separate sets of transition probabilities for each time step). The actual dataset I'm working with is 125 boxes over 14 years that can be occupied by 7 different species, though I have provided a slimmed down

Hi there, I have data on earnings of 12000 individuals at two points in time. I intend to construct a transition matrix, where the typical element, p_ij, gives the probability that an individual ends at the j-th decile of the earnings distribution given that he was was initially at the i-th decile. Thus, this is a bi-stochastic matrix. The problem is that the income data is nearly discrete in the sense that many individuals hold the same income lev...