plotApproxCovar: Plot an approximation of the correlation structure of the...

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

Plot an approximation of the correlation structure of the test statistics

Description

Plot an approximation of the correlation structure of the test statistics

Usage

plotApproxCovar(
  reconsiFit,
  col = colorRampPalette(c("yellow", "blue"))(12),
  x = seq(-4.2, 4.2, 0.1),
  y = seq(-4.2, 4.2, 0.1),
  xlab = "Z-values",
  ylab = "Z-values",
  nBins = 82L,
  binEdges = c(-4.1, 4.1),
  ...
)

Arguments

reconsiFit	The reconsi fit
col, x, y, xlab, ylab, ...	A list of arguments for the image() function.
nBins, binEdges	passed on to the getApproxCovar function

Details

By default, yellow indicates negative correlaton between bin counts, blue positive correlation

Value

invisible()

Note

This is not the covariance matrix of the p test statistic, nor of the data! It is an approximate covariance matrix of binned test statistics for visualization purposes. See plotCovar for the full covariance matrix.

See Also

plotCovar, getApproxCovar

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)
plotApproxCovar(fdrRes)

CenterForStatistics-UGent/reconsi documentation built on Nov. 13, 2023, 2:04 a.m.