generateRandomModels {galgo} | R Documentation |
Evaluate random models using the specified gene indexes.
generateRandomModels(genes, bigbang, size=trunc(length(genes)/2), n=100, fitnessFunc=bigbang$data$modelSelectionFunc, models=FALSE, ...)
genes |
Original chromosome object (or numeric vector). |
bigbang |
The |
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 |
models |
Logical value. |
... |
Other parameters passed to fitnessFunc. |
If models==TRUE
, a vector of resulted fitness for random models, otherwise a list with models (matrix, cols=models) and their fitness (vector) is returned.
Victor Trevino
## Not run: rm <- generateRandomModels(geneFrequency(bb,value="index")[1:50],bb,size=5,n=100,models=T) rm ## End(Not run)