R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # read data
> pknmodel = readSIF(system.file("ToyModel/ToyPKNMMB.sif", package="CellNOptR"))
> data = readMIDAS(system.file("ToyModel/ToyDataMMB.csv", package="CellNOptR"))
[1] "Your data set comprises  18 conditions (i.e. combinations of time point and treatment)"
[1] "Your data set comprises measurements on  7  different species"
[1] "Your data set comprises  4 stimuli/inhibitors and 1 cell line(s) ( mock )"
[1] "Please be aware that CNO only handles measurements on one cell line at this time."
[1] "Your data file contained 'NaN'. We have assumed that these were missing values and replaced them by NAs."
> cnolist = makeCNOlist(data, subfield=FALSE)
[1] "Please be aware that if you only have some conditions at time zero (e.g.only inhibitor/no inhibitor), the measurements for these conditions will be copied across matching conditions at t=0"
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # optimisation
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> 
> truebs =c(1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0)
> print(truebs)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> print(T1opt$bString)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> 
> # testing valid output
> if (dist(rbind(T1opt$bString, truebs))>2){
+ stop("something wrong going on")
+ }
> 
> # extra call to simulateTN
> SimT1<-simulateTN(CNOlist=cnolist,model=model, bStrings=list(truebs))
> 
> 
> proc.time()
   user  system elapsed 
   3.64    0.14    3.76 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # read data
> pknmodel = readSIF(system.file("ToyModel/ToyPKNMMB.sif", package="CellNOptR"))
> data = readMIDAS(system.file("ToyModel/ToyDataMMB.csv", package="CellNOptR"))
[1] "Your data set comprises  18 conditions (i.e. combinations of time point and treatment)"
[1] "Your data set comprises measurements on  7  different species"
[1] "Your data set comprises  4 stimuli/inhibitors and 1 cell line(s) ( mock )"
[1] "Please be aware that CNO only handles measurements on one cell line at this time."
[1] "Your data file contained 'NaN'. We have assumed that these were missing values and replaced them by NAs."
> cnolist = makeCNOlist(data, subfield=FALSE)
[1] "Please be aware that if you only have some conditions at time zero (e.g.only inhibitor/no inhibitor), the measurements for these conditions will be copied across matching conditions at t=0"
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # optimisation
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> 
> truebs =c(1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0)
> print(truebs)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> print(T1opt$bString)
 [1] 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0
> 
> # testing valid output
> if (dist(rbind(T1opt$bString, truebs))>2){
+ stop("something wrong going on")
+ }
> 
> # extra call to simulateTN
> SimT1<-simulateTN(CNOlist=cnolist,model=model, bStrings=list(truebs))
> 
> 
> proc.time()
   user  system elapsed 
   4.17    0.20    4.35 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> data(CNOlistToy2, package="CellNOptR")
> data(ToyModel2, package="CellNOptR")
> cnolist = CNOlistToy2
> pknmodel = ToyModel2
> 
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> print(T1opt$bString)
 [1] 1 1 1 1 1 0 1 1 0 0 1 1 1 1 0 0 0 0
> 
> truebs = c(1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0)
> 
> 
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(truebs),verbose=FALSE)
> truebs2 = c(0, 0, 0, 1, 0, 0, 0)
> 
> print(T2opt$bString)
[1] 0 0 0 1 0 0 0
> 
> proc.time()
   user  system elapsed 
   5.20    0.20    5.37 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> data(CNOlistToy2, package="CellNOptR")
> data(ToyModel2, package="CellNOptR")
> cnolist = CNOlistToy2
> pknmodel = ToyModel2
> 
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> print(T1opt$bString)
 [1] 1 1 1 1 1 0 1 1 0 0 1 1 1 1 0 0 0 0
> 
> truebs = c(1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0)
> 
> 
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(truebs),verbose=FALSE)
> truebs2 = c(0, 0, 0, 1, 0, 0, 0)
> 
> print(T2opt$bString)
[1] 0 0 0 1 0 0 0
> 
> proc.time()
   user  system elapsed 
   4.81    0.12    4.92 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # expected values
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1)
> bestBS3 <- c(0,0,1,0,0,0)
> 
> # just to check that the simulateTN function works 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS,bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> 
> # again, just to check that gaBinary works
> # run T1 first, 
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> # run T2
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(T1opt$bString),verbose=FALSE)
> # run T3
> T3opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(bestBS, bestBS2),verbose=FALSE)
> 
> print( T1opt$bScore)
             
4.545455e-05 
> print( T2opt$bScore)
[1] 5.454545e-05
> print( T3opt$bScore)
[1] 6.363636e-05
> # no using the hardcoded parameters, we can check the output of te scores that
> # must be tiny.
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.24 || score3>0.1){
+    # ideally, the score should all be close to 0. In practice, it's about 1e-5
+    # However, in the  T3 case, once in while, the score is 0.0953 hence the
+    # score3>0.1
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> 
> warnings()
> 
> proc.time()
   user  system elapsed 
   5.34    0.17    5.48 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/cno
> #
> ##############################################################################
> # $Id$
> 
> # This is a test of the ToyModel and gaBinaryT1
> # 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> model = preprocessing(cnolist, pknmodel, verbose=FALSE)
> 
> # expected values
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1)
> bestBS3 <- c(0,0,1,0,0,0)
> 
> # just to check that the simulateTN function works 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS,bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> 
> # again, just to check that gaBinary works
> # run T1 first, 
> T1opt<-gaBinaryT1(CNOlist=cnolist,model=model,verbose=FALSE)
> # run T2
> T2opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(T1opt$bString),verbose=FALSE)
> # run T3
> T3opt<-gaBinaryTN(CNOlist=cnolist,model=model,bStrings=list(bestBS, bestBS2),verbose=FALSE)
> 
> print( T1opt$bScore)
 initBstring 
4.545455e-05 
> print( T2opt$bScore)
[1] 5.454545e-05
> print( T3opt$bScore)
[1] 6.363636e-05
> # no using the hardcoded parameters, we can check the output of te scores that
> # must be tiny.
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.24 || score3>0.1){
+    # ideally, the score should all be close to 0. In practice, it's about 1e-5
+    # However, in the  T3 case, once in while, the score is 0.0953 hence the
+    # score3>0.1
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> 
> warnings()
> 
> proc.time()
   user  system elapsed 
   5.60    0.09    5.68 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # test readBND ------------------------------------------------------------------
> 
> required_pcks = list("plyr","dplyr","tidyr","readr")
> 
> if(!all(unlist(lapply(required_pcks,requireNamespace)))){
+ 	print("the following packages need to be installed to use readBND:")	
+ 	print(unlist(required_pcks))
+ 	print("Please, install the packages manually for this feature.")
+ 
+ }else{
+ 	#download.file("https://maboss.curie.fr/pub/example.bnd",destfile = "./tests/example.bnd")
+ 	#model = readBND("./tests/example.bnd")
+ 	model = readBND("https://maboss.curie.fr/pub/example.bnd")
+ 	
+ 	# basic checks for being a CellNoptR model:
+ 	stopifnot(is.list(model))
+ 	stopifnot(length(model)==4)
+ 	stopifnot(all(names(model) %in% c("reacID","namesSpecies","interMat","notMat")))
+ 	stopifnot(length(model$reacID)==ncol(model$interMat))
+ 	stopifnot(length(model$reacID)==ncol(model$notMat))
+ 	stopifnot(length(model$namesSpecies)==nrow(model$interMat))
+ 	stopifnot(length(model$namesSpecies)==nrow(model$notMat))
+ 	
+ 	#plotModel(model)
+ 	
+ 	
+ 	
+ }
Loading required namespace: plyr
Loading required namespace: tidyr
Loading required namespace: readr
Loading required package: plyr

Attaching package: 'plyr'

The following object is masked from 'package:graph':

    join

Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:plyr':

    arrange, count, desc, failwith, id, mutate, rename, summarise,
    summarize

The following object is masked from 'package:graph':

    union

The following objects are masked from 'package:BiocGenerics':

    combine, intersect, setdiff, union

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: tidyr

Attaching package: 'tidyr'

The following object is masked from 'package:RCurl':

    complete

Loading required package: readr
Warning messages:
1: In readBND("https://maboss.curie.fr/pub/example.bnd") :
  experimental BND reader. Use with care (July 2018).
2: In readBNET(fh) :
  experimental BNET reader. Use with care (February 2018).
3: `cols` is now required when using unnest().
Please use `cols = c(sif_df)` 
> 
> 
> 
> proc.time()
   user  system elapsed 
   3.31    0.20    3.92 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # test readBND ------------------------------------------------------------------
> 
> required_pcks = list("plyr","dplyr","tidyr","readr")
> 
> if(!all(unlist(lapply(required_pcks,requireNamespace)))){
+ 	print("the following packages need to be installed to use readBND:")	
+ 	print(unlist(required_pcks))
+ 	print("Please, install the packages manually for this feature.")
+ 
+ }else{
+ 	#download.file("https://maboss.curie.fr/pub/example.bnd",destfile = "./tests/example.bnd")
+ 	#model = readBND("./tests/example.bnd")
+ 	model = readBND("https://maboss.curie.fr/pub/example.bnd")
+ 	
+ 	# basic checks for being a CellNoptR model:
+ 	stopifnot(is.list(model))
+ 	stopifnot(length(model)==4)
+ 	stopifnot(all(names(model) %in% c("reacID","namesSpecies","interMat","notMat")))
+ 	stopifnot(length(model$reacID)==ncol(model$interMat))
+ 	stopifnot(length(model$reacID)==ncol(model$notMat))
+ 	stopifnot(length(model$namesSpecies)==nrow(model$interMat))
+ 	stopifnot(length(model$namesSpecies)==nrow(model$notMat))
+ 	
+ 	#plotModel(model)
+ 	
+ 	
+ 	
+ }
Loading required namespace: plyr
Loading required namespace: tidyr
Loading required namespace: readr
Loading required package: plyr

Attaching package: 'plyr'

The following object is masked from 'package:graph':

    join

Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:plyr':

    arrange, count, desc, failwith, id, mutate, rename, summarise,
    summarize

The following object is masked from 'package:graph':

    union

The following objects are masked from 'package:BiocGenerics':

    combine, intersect, setdiff, union

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: tidyr

Attaching package: 'tidyr'

The following object is masked from 'package:RCurl':

    complete

Loading required package: readr
Warning messages:
1: In readBND("https://maboss.curie.fr/pub/example.bnd") :
  experimental BND reader. Use with care (July 2018).
2: In readBNET(fh) :
  experimental BNET reader. Use with care (February 2018).
3: `cols` is now required when using unnest().
Please use `cols = c(sif_df)` 
> 
> 
> 
> proc.time()
   user  system elapsed 
   3.26    0.17    3.84 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> 
> # This test runs optimisation using Boolean logic at different time points
> # Author: S.Schrier, T.Cokelaer
> 
> 
> 
> manySteadyStates <-function(
+   CNOlist,
+   model,
+   sizeFac=0.0001,
+   NAFac=1,
+   popSize=50,
+   pMutation=0.5,
+   maxTime=60,
+   maxGens=500,
+   stallGenMax=100,
+   selPress=1.2,
+   elitism=5,
+   relTol=0.1,
+   verbose=FALSE,
+   priorBitString=NULL){
+ 
+ 
+     #initialize Opt array
+     Opt<-list()    
+     #initialze a bString array  
+     bStrings<-list()
+     simRes<-list()
+ 
+ 
+     T1opt<-gaBinaryT1(CNOlist=CNOlist,
+                   model=model,
+                   stallGenMax=stallGenMax,
+                   sizeFac=sizeFac,
+                   NAFac=NAFac,
+                   popSize=popSize,
+                   pMutation=pMutation,
+                   maxTime=maxTime,
+                   maxGens=maxGens,
+                   selPress=selPress,
+                   elitism=elitism,
+                   relTol=relTol,
+                   verbose=verbose,
+                   priorBitString=priorBitString)
+ 
+     Opt[[1]]<-T1opt
+     simT1<-simulateTN(CNOlist=CNOlist, model=model, bStrings=list(T1opt$bString))
+     simRes[[1]]<-simT1
+     bStrings[[1]] = T1opt$bString
+ 
+     if (length(CNOlist@signals)>2){
+         for(i in 3:length(CNOlist@signals)){
+             Opt[[i-1]]<-gaBinaryTN(CNOlist=CNOlist,
+                         model=model,
+                         bStrings=bStrings,
+                         stallGenMax=stallGenMax,
+                         maxTime=maxTime,
+                         sizeFac=sizeFac,
+                         NAFac=NAFac,
+                         popSize=popSize,
+                         pMutation=pMutation,
+                         maxGens=maxGens,
+                         selPress=selPress,
+                         elitism=elitism,
+                         relTol=relTol,
+                         verbose=verbose,
+                         priorBitString=priorBitString)
+ 
+             bStrings[[i-1]] = Opt[[i-1]]$bString
+ 
+             simRes[[i]]<-simulateTN(CNOlist,model,bStrings)
+         }
+     }   
+     return(list(bStrings=bStrings, Opt=Opt, simRes=simRes))
+ }
> 
> 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # one steady state
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy)
> data(ToyModel, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0

> 
> # two steady state
> data(CNOlistToy2, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy2)
> data(ToyModel2, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel2)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0

[[2]]
[1] 0 0 1

> 
> # 3 steady state
> ToyModel3 = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> results = manySteadyStates(cnolist, ToyModel3)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0

[[2]]
[1] 0 0 0

[[3]]
[1] 0 0 0

> 
> 
> 
> proc.time()
   user  system elapsed 
   8.82    0.21    9.04 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> 
> # This test runs optimisation using Boolean logic at different time points
> # Author: S.Schrier, T.Cokelaer
> 
> 
> 
> manySteadyStates <-function(
+   CNOlist,
+   model,
+   sizeFac=0.0001,
+   NAFac=1,
+   popSize=50,
+   pMutation=0.5,
+   maxTime=60,
+   maxGens=500,
+   stallGenMax=100,
+   selPress=1.2,
+   elitism=5,
+   relTol=0.1,
+   verbose=FALSE,
+   priorBitString=NULL){
+ 
+ 
+     #initialize Opt array
+     Opt<-list()    
+     #initialze a bString array  
+     bStrings<-list()
+     simRes<-list()
+ 
+ 
+     T1opt<-gaBinaryT1(CNOlist=CNOlist,
+                   model=model,
+                   stallGenMax=stallGenMax,
+                   sizeFac=sizeFac,
+                   NAFac=NAFac,
+                   popSize=popSize,
+                   pMutation=pMutation,
+                   maxTime=maxTime,
+                   maxGens=maxGens,
+                   selPress=selPress,
+                   elitism=elitism,
+                   relTol=relTol,
+                   verbose=verbose,
+                   priorBitString=priorBitString)
+ 
+     Opt[[1]]<-T1opt
+     simT1<-simulateTN(CNOlist=CNOlist, model=model, bStrings=list(T1opt$bString))
+     simRes[[1]]<-simT1
+     bStrings[[1]] = T1opt$bString
+ 
+     if (length(CNOlist@signals)>2){
+         for(i in 3:length(CNOlist@signals)){
+             Opt[[i-1]]<-gaBinaryTN(CNOlist=CNOlist,
+                         model=model,
+                         bStrings=bStrings,
+                         stallGenMax=stallGenMax,
+                         maxTime=maxTime,
+                         sizeFac=sizeFac,
+                         NAFac=NAFac,
+                         popSize=popSize,
+                         pMutation=pMutation,
+                         maxGens=maxGens,
+                         selPress=selPress,
+                         elitism=elitism,
+                         relTol=relTol,
+                         verbose=verbose,
+                         priorBitString=priorBitString)
+ 
+             bStrings[[i-1]] = Opt[[i-1]]$bString
+ 
+             simRes[[i]]<-simulateTN(CNOlist,model,bStrings)
+         }
+     }   
+     return(list(bStrings=bStrings, Opt=Opt, simRes=simRes))
+ }
> 
> 
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> # one steady state
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy)
> data(ToyModel, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0

> 
> # two steady state
> data(CNOlistToy2, package="CellNOptR")
> cnolist = CNOlist(CNOlistToy2)
> data(ToyModel2, package="CellNOptR")
> results = manySteadyStates(cnolist, ToyModel2)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0

[[2]]
[1] 0 0 1

> 
> # 3 steady state
> ToyModel3 = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv", package="CellNOptR"))
> results = manySteadyStates(cnolist, ToyModel3)
> print(results$bStrings)
[[1]]
 [1] 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0

[[2]]
[1] 0 0 0

[[3]]
[1] 0 0 0

> 
> 
> 
> proc.time()
   user  system elapsed 
  11.39    0.23   11.60 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # test if the priorBitString is used correctly in gaBinaryT1DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> 
> # Load T1 and T2 data. Only T1 is used here below.
> data(ToyModel, package="CellNOptR")
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlistToy
> pknmodel = ToyModel
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: Akt, Hsp27, NFkB, Erk, p90RSK, Jnk, cJun"
[1] "The following species are stimulated: EGF, TNFa"
[1] "The following species are inhibited: Raf, PI3K"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> initBstring<-rep(1,length(model$reacID))
> 
> 
> 
> priorBitString = rep(NA, length(model$reacID))
> priorBitString[1] = 0
> priorBitString[2] = 0
> priorBitString[3] = 0
> priorBitString[4] = 0
> 
> # Second, you call the gaBinaryT1 function by providing the priorBitString
> # argument:
> ToyT1opt<-gaBinaryT1(CNOlist=CNOlistToy, model=model,
+     initBstring=initBstring, maxGens=10, popSize=5,
+     verbose=FALSE, priorBitString=priorBitString)
> 
> 
> for (x in ToyT1opt$results[,7]){
+      x = strsplit(x ,",")[[1]]
+      if (as.numeric(x[[1]]) != 0 ){ stop("first element must be 0")}
+      if (as.numeric(x[[2]]) != 0 ){ stop("second element must be 0")}
+      if (as.numeric(x[[3]]) != 0 ){ stop("tirdh element must be 0")}
+      if (as.numeric(x[[4]]) != 0 ){ stop("fourth element must be 0")}
+ }
> 
> 
> 
> proc.time()
   user  system elapsed 
   2.12    0.26    2.37 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # test if the priorBitString is used correctly in gaBinaryT1DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> 
> 
> # Load T1 and T2 data. Only T1 is used here below.
> data(ToyModel, package="CellNOptR")
> data(CNOlistToy, package="CellNOptR")
> cnolist = CNOlistToy
> pknmodel = ToyModel
> 
> # preprocessing
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: Akt, Hsp27, NFkB, Erk, p90RSK, Jnk, cJun"
[1] "The following species are stimulated: EGF, TNFa"
[1] "The following species are inhibited: Raf, PI3K"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> initBstring<-rep(1,length(model$reacID))
> 
> 
> 
> priorBitString = rep(NA, length(model$reacID))
> priorBitString[1] = 0
> priorBitString[2] = 0
> priorBitString[3] = 0
> priorBitString[4] = 0
> 
> # Second, you call the gaBinaryT1 function by providing the priorBitString
> # argument:
> ToyT1opt<-gaBinaryT1(CNOlist=CNOlistToy, model=model,
+     initBstring=initBstring, maxGens=10, popSize=5,
+     verbose=FALSE, priorBitString=priorBitString)
> 
> 
> for (x in ToyT1opt$results[,7]){
+      x = strsplit(x ,",")[[1]]
+      if (as.numeric(x[[1]]) != 0 ){ stop("first element must be 0")}
+      if (as.numeric(x[[2]]) != 0 ){ stop("second element must be 0")}
+      if (as.numeric(x[[3]]) != 0 ){ stop("tirdh element must be 0")}
+      if (as.numeric(x[[4]]) != 0 ){ stop("fourth element must be 0")}
+ }
> 
> 
> 
> proc.time()
   user  system elapsed 
   2.28    0.12    2.39 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # This test runs T3 data set to compute the scores (must be zero), and run
> # cutAndPlot plot on each time points.
> 
> # DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv",  package="CellNOptR"))
> 
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: AKT, MEK, ERK, P38, JNK, NFKB"
[1] "The following species are stimulated: TGFa, TNFa"
[1] "The following species are inhibited: PI3K, MEK"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> verbose = FALSE
> initBstring<-rep(1,length(model$reacID))
> score = computeScoreT1(cnolist, model,bString=rep(1,length(model$reacID)))
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1) # given by running gaBinaryTN
> bestBS3 <- c(0,0,1,0,0,0) # given by running gaBinaryTN
> 
> 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.024){
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> proc.time()
   user  system elapsed 
   3.06    0.21    3.26 

R version 4.1.3 (2022-03-10) -- "One Push-Up"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

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> #
> #  This file is part of the CNO software
> #
> #  Copyright (c) 2011-2012 - EBI
> #
> #  File author(s): CNO developers ([email protected])
> #
> #  Distributed under the GPLv2 License.
> #  See accompanying file LICENSE.txt or copy at
> #      http://www.gnu.org/licenses/gpl-2.0.html
> #
> #  CNO website: http://www.ebi.ac.uk/saezrodriguez/software.html
> #
> ##############################################################################
> # $Id$
> # This test runs T3 data set to compute the scores (must be zero), and run
> # cutAndPlot plot on each time points.
> 
> # DO NOT MODIFY please (TC, June 2012)
> 
> library(CellNOptR)
Loading required package: RBGL
Loading required package: graph
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: hash
hash-2.2.6.2 provided by Decision Patterns

Loading required package: RCurl
Loading required package: Rgraphviz
Loading required package: grid
Loading required package: XML

Attaching package: 'XML'

The following object is masked from 'package:graph':

    addNode

Loading required package: ggplot2
> pknmodel = readSIF(system.file("ToyModelT3/ToyModelT3.sif", package="CellNOptR"))
> cnolist = CNOlist(system.file("ToyModelT3/ToyDataT3.csv",  package="CellNOptR"))
> 
> model = preprocessing(cnolist, pknmodel)
[1] "The following species are measured: AKT, MEK, ERK, P38, JNK, NFKB"
[1] "The following species are stimulated: TGFa, TNFa"
[1] "The following species are inhibited: PI3K, MEK"
[1] "The following species are not observable and/or not controllable: "
> 
> # computeScoreT1 with init string made of ones
> verbose = FALSE
> initBstring<-rep(1,length(model$reacID))
> score = computeScoreT1(cnolist, model,bString=rep(1,length(model$reacID)))
> bestBS = c(1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0,0)
> bestBS2 <- c(0,0,0,0,0,0,1) # given by running gaBinaryTN
> bestBS3 <- c(0,0,1,0,0,0) # given by running gaBinaryTN
> 
> 
> SimT1<-simulateTN(CNOlist=cnolist, model=model, bString=list(bestBS))
> SimT2<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2))
> SimT3<-simulateTN(CNOlist=cnolist, model=model, bStrings=list(bestBS, bestBS2, bestBS3))
> 
> score1 = computeScoreT1(cnolist, model, bString=bestBS)
> score2 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2))
> score3 = computeScoreTN(cnolist, model, bStrings=list(bestBS,bestBS2, bestBS3))
> 
> print(score1)
[1] 4.545455e-05
> print(score2)
[1] 5.454545e-05
> print(score3)
[1] 6.363636e-05
> if (score1>0.01 || score2>0.024){
+    stop("errore")
+ }
> cutAndPlot(cnolist, model,bStrings=list(bestBS),plotPDF=TRUE, tag="test1")
$filenames
$filenames[[1]]
[1] "test1_SimResultsT1_1_.pdf"


$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults
$simResults[[1]]
$simResults[[1]]$t0
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[1]]$t1
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0



> cutAndPlot(cnolist, model,bStrings=list(bestBS,bestBS2),plotPDF=TRUE, tag="test2")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0


> cutAndPlot(cnolist, model, bStrings=list(bestBS,bestBS2,bestBS3),plotPDF=TRUE, tag="test3")
$mse
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$filenames
list()

$simResults
$simResults[[1]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    0    0    0    0    0
[2,]    0    0    0    0    0    0
[3,]    0    0    0    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    0    0    0
[6,]    0    0    0    0    0    0
[7,]    0    0    0    0    0    0

$simResults[[2]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    1
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    1
[6,]    1    0    0    1    1    1
[7,]    0    0    0    0    0    0

$simResults[[3]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    0    1    0
[2,]    1    1    1    1    1    0
[3,]    0    1    1    0    0    0
[4,]    1    0    0    0    1    0
[5,]    0    0    0    1    0    0
[6,]    1    0    0    1    1    0
[7,]    0    0    0    0    0    0

$simResults[[4]]
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    0    1    1    0    0    0
[2,]    0    0    0    1    0    1
[3,]    0    1    1    0    0    0
[4,]    0    0    0    0    0    0
[5,]    0    0    0    1    0    1
[6,]    0    0    0    1    0    1
[7,]    0    0    0    0    0    0


> 
> 
> proc.time()
   user  system elapsed 
   2.96    0.17    3.12