ldstatsHD (version 1.0.1)

plot.eqCorTestByRows: plot for equality of two correlation matrices by rows test

Description

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

Usage

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

Arguments

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.

See Also

eqCorTestByRows for equality of two correlation matrices by rows test.

Examples

# NOT RUN {
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)         					

 
# }