galgo (version 1.4)

generateRandomModels: Generates Random shorter models

Description

Evaluate random models using the specified gene indexes.

Usage

generateRandomModels(genes,  bigbang, 
size=trunc(length(genes)/2), n=100, 
fitnessFunc=bigbang$data$modelSelectionFunc,
models=FALSE, ...)

Arguments

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.

models

Logical value.

...

Other parameters passed to fitnessFunc.

Value

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.

See Also

BigBang.

Examples

# NOT RUN {
rm <- generateRandomModels(geneFrequency(bb,value="index")[1:50],bb,size=5,n=100,models=T)
rm
# }