cutAndPlotResultsTN {CellNOptR} | R Documentation

## Plot the results of an optimisation at tN

### Description

This function takes a model and an optimised bitstring, it cuts the model according to the bitstring and plots the results of the simulation along with the experimental data. This function is designed to work on results of a 2 step optimisation.

### Usage

    cutAndPlotResultsTN(CNOlist, model, bStrings, plotPDF = FALSE, tag=NULL,
        plotParams = list(maxrow = 10))

### Arguments

`CNOlist` | a CNOlist, corresponding to the optimisation one
`model` | a model (the full one that was used for optimisation)
`bStrings` | a list of bitstring at different time points
`plotPDF` | TRUE or FALSE, tells whether you want a pdf to be produced or not
`tag` | NULL or string; tells whether you want to prefix filenames with a tag (replaces the default behaviour).
`maxrow` | maximum number of row in the plot.
`plotParams` | a list of option related to the PDF and plotting outputs. (1) maxrow is the maximum number of row used to plot the results. See plotOptimResultsPan for other fields.

### Value

This function returns plotted MSEs

### Note

New in version 1.3.28

### Author(s)

T. Cokelaer, A. MacNamara, Sarah Schrier, C. Terfve based on cutAndPlotResultsT1

### See Also

gaBinaryT1, prep4sim, cutAndPlotResultsT1

### Examples

    #load data

    data(CNOlistToy2,package="CellNOptR")
    data(ToyModel2,package="CellNOptR")

    #pre-process model
    model = preprocessing(CNOlistToy2, ToyModel2)

    #optimise t1
    ToyT1<-gaBinaryT1(
    	CNOlist=CNOlistToy2,
    	model=model,
    	maxGens=20,
    	popSize = 10,
    	verbose=FALSE)

    #Optimise T2
    ToyT2<-gaBinaryTN(
    	CNOlist=CNOlistToy2,
    	model=model,
    	bStrings=list(ToyT1$bString),
    	maxGens=20,
    	popSize = 10,
    	verbose=FALSE)

    cutAndPlotResultsTN(
    	CNOlist=CNOlistToy2,
    	model=model,
    	bStrings=list(ToyT1$bString, bStringT2=ToyT2$bString),
    	plotPDF=FALSE)

[Package CellNOptR version 1.33.0 Index]