This method generates the correlation circle. Correlation circle is used to assess the coherence of a model. Indeed, Each vector represents our conditions and the angle between each vector give the correlation between the variables. if the angle is higher than 90 degrees there is no correlation.
Usage
plotCC(object)
Arguments
object
Object of the Class SquadSimResServiceImpl.
Details
The percentage of variability explained by the two first principal components are displayed in parenthesis in the axis label.
Author(s)
Martial Sankar
See Also
More specific information in plotCC-methods.
For more informations about the input object see SquadSimResServiceImpl-class.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(SQUADD)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/SQUADD/plotCC.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotCC
> ### Title: Generate the Correlation Circle.
> ### Aliases: plotCC
> ### Keywords: correlation PCA circle
>
> ### ** Examples
>
> 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",
+ conditionList=c("Normal", "brxlof", "BRrescue","brxarfilof",
+ "brxarfiBRrescue", "brxgof")
+ )
> ## call method
> plotCC(obj)
>
>
>
>
>
> dev.off()
null device
1
>