plotCovar: Plot an the corvariance matrix of the test statistics...

In CenterForStatistics-UGent/rransi: Resampling Collapsed Null Distributions for Simultaneous Inference

Plot an the corvariance matrix of the test statistics estimated through permutations

Description

Plot an the corvariance matrix of the test statistics estimated through permutations

Usage

plotCovar(
  reconsiFit,
  col = colorRampPalette(c("yellow", "blue"))(12),
  xlab = "Test statistic index",
  ylab = xlab,
  ...
)

Arguments

reconsiFit	The reconsi fit
col, xlab, ylab, ...	A list of arguments for the image() function.

Details

By default, yellow indicates negative correlaton between test statistics, blue positive correlation

Value

invisible()

Note

Note the difference with the plotApproxCovar function, where the covariances between binned test statistics are shown to get an idea between covariances between tail and center values of the univariate null distribution. Here the covariance matrix between all test statistics is shown

See Also

plotApproxCovar

Examples

p = 200; n = 50; B = 5e1
x = rep(c(0,1), each = n/2)
mat = cbind(
matrix(rnorm(n*p/10, mean = 5+x),n,p/10), #DA
matrix(rnorm(n*p*9/10, mean = 5),n,p*9/10) #Non DA
)
mat = mat = mat + rnorm(n, sd = 0.3) #Introduce some dependence
fdrRes = reconsi(mat, x, B = B)
plotCovar(fdrRes)

CenterForStatistics-UGent/rransi documentation built on Nov. 13, 2023, 2:07 a.m.