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

View source: R/F_plotApproxCovar.R

plotApproxCovarR Documentation

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