Description Usage Arguments Value Author(s) See Also Examples
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.
1 | p.adjustSP(p, nb, method = "none")
|
p |
vector of p-values |
nb |
a list of neighbours of class |
method |
correction method as defined in |
A vector of corrected p-values using only the number of neighbours + 1.
Danlin Yu and Roger Bivand Roger.Bivand@nhh.no
1 2 3 4 5 6 7 8 9 | 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,]
|
Loading required package: sp
Loading required package: Matrix
resG non bon tot
THE GAMBIA -0.98383592 0.02455 0.04911 1.0000
MALI -1.69893391 0.00034 0.00272 0.0143
SENEGAL -1.46321911 0.00171 0.00857 0.0720
BENIN -1.30139679 0.00462 0.02312 0.1942
MAURITANIA -0.60496775 0.11315 0.56576 1.0000
NIGER -1.04877003 0.01797 0.14378 0.7549
IVORY COAST -1.41712454 0.00230 0.01378 0.0965
GUINEA -1.44888005 0.00188 0.01128 0.0789
BURKINA FASO -1.75085492 0.00023 0.00162 0.0097
LIBERIA -1.04053617 0.01871 0.07485 0.7860
SIERRA LEONE -0.87032623 0.04087 0.12262 1.0000
GHANA -1.10269327 0.01371 0.05485 0.5760
TOGO -0.99053008 0.02379 0.09517 0.9993
CAMEROON -1.13328519 0.01171 0.07025 0.4917
NIGERIA -1.17261672 0.00951 0.04754 0.3993
GABON -0.78935857 0.05720 0.17160 1.0000
CENTRAL AFRICAN REPUBLIC 1.17349763 0.00946 0.05678 0.3974
CHAD 0.46259185 0.17744 1.00000 1.0000
CONGO -0.20253005 0.34272 1.00000 1.0000
ZAIRE 2.02270432 2.6e-05 0.00026 0.0011
ANGOLA 1.23450728 0.00677 0.02710 0.2845
UGANDA 3.33600851 1.3e-11 7.6e-11 5.3e-10
KENYA 3.50301896 1.2e-12 7.4e-12 5.1e-11
TANZANIA 1.09843592 0.01401 0.12613 0.5886
BURUNDI 0.77417084 0.06077 0.24308 1.0000
RWANDA 1.45720776 0.00178 0.00891 0.0748
SOMALIA 1.18316273 0.00898 0.02695 0.3773
ETHIOPIA 2.62720027 7.4e-08 3.0e-07 3.1e-06
ZAMBIA 0.75273285 0.06610 0.59492 1.0000
ZIMBABWE -0.19956472 0.34490 1.00000 1.0000
MALAWI 0.21195283 0.33582 1.00000 1.0000
MOZAMBIQUE -0.28761679 0.28257 1.00000 1.0000
SOUTH AFRICA -0.86814954 0.04126 0.33004 1.0000
LESOTHO -0.29841469 0.27531 0.55062 1.0000
BOTSWANA 0.04090396 0.46740 1.00000 1.0000
SWAZILAND -0.65938417 0.09362 0.28087 1.0000
MOROCCO 0.02191606 0.48252 1.00000 1.0000
ALGERIA -0.36307938 0.23387 1.00000 1.0000
TUNISIA 0.57910139 0.12339 0.37017 1.0000
LIBYA 2.55272169 1.7e-07 1.2e-06 6.9e-06
SUDAN 4.03925235 3.3e-16 3.0e-15 1.4e-14
EGYPT 4.42133637 < 2e-16 < 2e-16 < 2e-16
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