Description Usage Arguments Details Author(s) See Also Examples
This method is used to visualize the prediction heat-map. The prediction map is generated by mapping a color code on the ratio of the fitted values.
1 | plotPredMap(object)
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object |
object of the Class |
This method firstly interpolate the SQUAD Simulation Result. Then, it performs a ratio at a user-defined time point. Finally, a color code is assigned to the ratio value. The darker the color, the higher the increase of the node activation.
Martial Sankar
More information about heatmap, heatmap
More specific information in plotPredMap-methods
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For more informations about the input object see SquadSimResServiceImpl-class
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | fpath <- system.file("extdata", package="SQUADD")
fileModel <- file.path(fpath,"data_IAA")
nm <- c("ARF(a)", "ARF(i)", "AR_Genes", "Aux/IAA", "BES1/BZR1",
"BIN2", "BR", "BRI1-BAK1","BRR_Genes","BRX","BR_Biosynthesis", "BZR1", "DO",
"IAA", "IAA_Biosynthesis", "NGA1", "PIN", "SCFTir1","StimAux", "StimBR")
t <- 50
## call constructor
obj <- simResService(
folder=fileModel,
time=t,
ncolor=5,
legend=nm,
indexDeno=1,
method="lowess")
## Apply method
plotPredMap(obj)
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