plotMeanFuzzyFit {CNORfuzzy} | R Documentation |
Uses post refinement threshold (selection threshold) to choose reduced refined model resulting from each run. Simulates model and plots result and fit to data
plotMeanFuzzyFit(postRefThresh, allFinalMSEs, allRes, plotPDF=FALSE, tag=NULL, show=TRUE, plotParams=list(cex=0.8, cmap_scale=1))
postRefThresh |
Post refinement threshold (selection threshold) chosen from plot produced by compileMultiRes |
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allFinalMSEs |
matrix containing MSEs produced by compileMultiRes |
allRes |
list containing results of several CNORwrapFuzzy runs |
plotPDF |
TRUE or FALSE depending on if a PDF file should be saved |
tag |
String to include in filename of PDF plot |
show |
If the plot should be displayed |
plotParams |
a list of option related to the PDF and plotting outputs. (1) cex is the
font size of the header. (2) cmap_scale below 1 allows to put more emphasizes on low
errors (default 1 means all colors have the same weight). See
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This function does not have any output, it just plots and saves results if applicable.
M.K. Morris
data(ToyModel, package="CellNOptR") data(CNOlistToy,package="CellNOptR") paramsList = defaultParametersFuzzy(CNOlistToy, ToyModel) N = 10 allRes = list() ## Not run: for (i in 1:N){ Res = CNORwrapFuzzy(CNOlistToy, ToyModel, paramsList) allRes[[i]] = Res } summary = compileMultiRes(allRes) plotMeanFuzzyFit(0.1, summary$allFinalMSEs, allRes) ## End(Not run)