| generateRandomModels {galgo} | R Documentation |
Evaluate random models using the specified gene indexes.
generateRandomModels(genes, bigbang, \cr size=trunc(length(genes)/2), n=100, \cr fitnessFunc=bigbang$data$modelSelectionFunc)
genes |
Original chromosome object (or numeric vector). |
bigbang |
The BigBang object to be used to call the fitness function. |
size |
Size of new random models. |
n |
Number of models |
fitnessFunc |
The fitness function used to evaluate the chromosomes. The default is the usage of bigbang$galgo$fitnessFunc. |
If models==TRUE, a vector of resulted fitness for random models, otherwise a list with models and their fitness is returned.
Victor Trevino
rm <- generateRandomModels(geneFrequency(bb,value="index")[1:50],bb,size=5,n=100,models=T) rm