Adjust local association measures' p-values
Make an adjustment to local association measures' p-values based on the number of neighbours (+1) of each region, rather than the total number of regions.
p.adjustSP(p, nb, method = "none")
- vector of p-values
- a list of neighbours of class
- correction method as defined in
p.adjust: "The adjustment methods include the Bonferroni correction ('"bonferroni"') in which the p-values are multiplied by the number of comparisons. Four less conservative corrections are also included by Holm (1979) ('"holm"'), Hochberg (1988) ('"hochberg"'), Hommel (1988) ('"hommel"') and Benjamini & Hochberg (1995) ('"fdr"'), respectively. A pass-through option ('"none"') is also included."
A vector of corrected p-values using only the number of neighbours + 1.
data(afcon) oid <- order(afcon$id) resG <- as.vector(localG(afcon$totcon, nb2listw(include.self(paper.nb)))) non <- format.pval(pnorm(2*(abs(resG)), lower.tail=FALSE), 2) bon <- format.pval(p.adjustSP(pnorm(2*(abs(resG)), lower.tail=FALSE), paper.nb, "bonferroni"), 2) tot <- format.pval(p.adjust(pnorm(2*(abs(resG)), lower.tail=FALSE), "bonferroni", n=length(resG)), 2) data.frame(resG, non, bon, tot, row.names=afcon$name)[oid,]
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