Moran's I between two groups (irregular data shape)

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"
)

Arguments

X: A matrix with observations as rows and features as columns.
W: A weight matrix across all observations, i.e inverse of a pairwise distance matrix.
group1: The indices or names for the first group of observations.
group2: The indices or names for the second group of observations.
OLS: Whether to use OLSMoransI, default is FALSE and BivariateMoransI is used.
normalize: Whether to normalize the weight matrix such that each row adds up to one. Default is TRUE.
alternative: Alternative hypothesis used, default is two.sided.
p.adjust.method: Method used for multiple comparisons correction, default is BH. See p.adjust.

Value

A list containing the output from BivariateMoransI or OLSMoransI.

Examples

{
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)
}