plotequalityCorrelationsByRows: plot for equality of two correlation matrices by rows test
In ldstatsHD: Linear Dependence Statistics for High-Dimensional Data

Description Usage Arguments Author(s) See Also Examples

graphical representation for the equality of two correlation matrices test by rows: confidence intervals of the test statistics.

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## S3 method for class 'eqCorTestByRows'
plot(x, mains = c("AS CI", "max CI"), xlabs = c("",""), ylabs = c("",""), 
      pch = "-", ownCols = TRUE, ...)

`x`	object of class `eqCorTestByRows`.
`mains`	vector of size two with main of plots (for average of squares test and extreme value test).
`xlabs`	vector of size two with xlabs of plots (for average of squares test and extreme value test).
`ylabs`	vector of size two with ylabs of plots (for average of squares test and extreme value test).
`pch`	`pch` given to identify confidence interval limits.
`ownCols`	if `ownCols = TRUE` green and black colors are generated with green lines identifying significant variables.
`...`	arguments passed to or from other methods to the low level.

Caballe, Adria <a.caballe@sms.ed.ac.uk>, Natalia Bochkina and Claus Mayer.

eqCorTestByRows for equality of two correlation matrices by rows test.

EX2 <- pcorSimulatorJoint(nobs = 200, nclusters = 3, nnodesxcluster = c(60,40,50), 
                         pattern = "pow", diffType = "cluster", dataDepend = "diag", 
                         pdiff=0.5)
			               
#### eq corr by rows
## not run
#eqCorEX2 <- eqCorTestByRows(EX2$D1, EX2$D2, testStatistic = c("AS", "max"), 
#                            nite = 200, paired = TRUE, exact = TRUE, 
#                            subMatComp = FALSE, iniP = 1, finP = 40, 
#                            conf.level = 0.95)
#plot(eqCorEX2)