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Calculate Moran's I between two groups with irregular data shape.
IrregularMoransI( X, W, group1, group2, OLS = FALSE, normalize = TRUE, alternative = c("two.sided", "less", "greater"), p.adjust.method = "BH" )
A matrix with observations as rows and features as columns.
A weight matrix across all observations, i.e inverse of a pairwise distance matrix.
The indices or names for the first group of observations.
The indices or names for the second group of observations.
Whether to use OLSMoransI, default is FALSE and BivariateMoransI is used.
OLSMoransI
FALSE
BivariateMoransI
Whether to normalize the weight matrix such that each row adds up to one. Default is TRUE.
TRUE
Alternative hypothesis used, default is two.sided.
two.sided
Method used for multiple comparisons correction, default is BH. See p.adjust.
BH
p.adjust
A list containing the output from BivariateMoransI or OLSMoransI.
# NOT RUN { { data.use <- quakes[1:100,] W <- 1/as.matrix(dist(data.use[,1:2])) diag(W) <- 0 res <- IrregularMoransI(data.use[,3:4], W, 1:10, 21:30) } # }
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