plotFit: Plot the evolution of an optimisation

In saezlab/CellNOptR: Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data

Plot the evolution of an optimisation

Description

This function takes in the results of an optimisation by gaBinaryT1 and plots the evolution of best fit and average fit against generations.

Usage

plotFit(optRes, filename = NULL)

Arguments

optRes	an object created by the optimisation engine (gabinaryT1)
filename	NULL or string: if provided, the plot is save in PDF format in the filename.

Value

This function doesn't return anything, it just produces a plot in your graphics window.

Author(s)

C. Terfve

See Also

gaBinaryT1

Examples

data(CNOlistToy,package="CellNOptR")
data(ToyModel,package="CellNOptR")

#process the model
model = preprocessing(CNOlistToy,ToyModel)

#optimise

ToyT1opt<-gaBinaryT1(
	CNOlist=CNOlistToy,
	model=model,
	maxGens=10,
	popSize=10,
	verbose=FALSE)

plotFit(optRes=ToyT1opt)

saezlab/CellNOptR documentation built on April 16, 2024, 5:21 a.m.