| transitionMatrix {SiMRiv} | R Documentation |
Define a state transition matrix
Description
Defines a state transition matrix to be used when creating species.
Usage
transitionMatrix(...)
Arguments
... |
the probabilities that will form the matrix, see Details. If none given, returns a 1-element matrix (for one state only) |
Details
The transition matrix (Markov matrix) is a square, non-symmetric matrix with all elements between 0 and 1, and whose rows must sum to 1 (but not columns). It defines the probability of the individual changing from each behavioral state to another, and this is tested in each time step of the simulation, hence probabilities should be small.
This function is just a helper to create such matrix. The arguments are probabilities given in the following order (example for 3 states):
Probability of changing from:
state 1 –> state 2
state 1 –> state 3
state 2 –> state 1
state 2 –> state 3
state 3 –> state 1
state 3 –> state 2
The diagonal (probablity of remaining in the same state) is computed so that rows sum to 1.
Value
A numeric matrix.
See Also
Examples
## a 3-state transition matrix
transitionMatrix(0.01,0.02,0,0.03,0.0001,0)