BoolNet (version 1.44)

print.MarkovSimulation: Print the results of a Markov chain simulation

Description

A specialized method to print an object of class MarkovSimulation. This prints all states that have a non-zero probability to be reached after the number of iterations in the Markov simulation. If the simulation was run with returnTable=TRUE, it also prints a table of state transitions and their probabilities to be chosen in a single step.

Usage

print.MarkovSimulation(x, 
                       activeOnly = FALSE,
                       ...)

Arguments

x

An object of class MarkovSimulation to be printed

activeOnly

If set to true, a state is represented by a list of active genes (i.e., genes which are set to 1). If set to false, a state is represented by a binary vector with one entry for each gene, specifying whether the gene is active or not. Defaults to FAL

...

Further parameters for the print method. Currently not used.

Value

• Invisibly returns the printed object

See Also

print, markovSimulation