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EFDR (version 1.3)

diagnostic.table: 2x2 diagnostic table

Description

Returns the a 2x2 table resulting from diagnostic evaluation. The cells contain the number of true negatives, true positives, false negatives and false positives.

Usage

diagnostic.table(reject.true, reject, n)

Value

2x2 matrix

Arguments

reject.true

indices of the true alternative hypotheses

reject

indices of the rejected null hypotheses

n

total number of tests

References

Noel Cressie and Sandy Burden (2015). "Evaluation of diagnostics for hierarchical spatial statistical models." Contribution to K. V. Mardia Festschrift, Wiley, Chichester, forthcoming.

Examples

Run this code
set.seed(1)
wf = "la8"
J = 3
n = 64
h = 0.5
Z <- test_image(h = h, r = 14, n1 = n)$z
sig <- wav_th(Z, wf=wf, J=J, th = h)

Z <- Z + rnorm(n^2)*0.5
m1 <- test.bonferroni(Z, wf="la8",J=3, alpha = 0.05)
m2 <- test.fdr(Z, wf="la8",J=3, alpha = 0.05)

cat("Bonferroni diagnostic table: ",sep="\n")
diagnostic.table(sig,m1$reject_coeff,n = n^2)
cat("FDR diagnostic table: ",sep="\n")
diagnostic.table(sig,m2$reject_coeff,n = n^2)

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