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rmad <- function(x, y = NULL, na.rm = FALSE, even.correction = FALSE) {
dat <- .check_input_data_matrix(x = x, y = y, na.rm = na.rm)
colnames_original <- colnames(dat)
storage.mode(dat) <- "double"
n <- as.integer(nrow(dat))
p <- as.integer(ncol(dat))
nc <- as.integer({
p^2 - p
}/2)
if (even.correction) {
evencorrection <- 1L
}
else {
evencorrection <- 0L
}
u <- .Fortran("cormadvecdp", matrix = dat, nrow = n, ncol = p, res = numeric(nc),
ressize = nc, correcteven = evencorrection, PACKAGE = "RSC")$res
if (!is.null(y)) {
return(u)
}
else {
R <- Matrix(1, nrow = p, ncol = p, sparse = FALSE)
R[lower.tri(R, diag = FALSE)] <- u
R <- forceSymmetric(R, uplo = "L")
R <- as(R, "dspMatrix")
if (!is.null(colnames_original)) {
dimnames(R)[[1]] <- dimnames(R)[[2]] <- colnames_original
}
return(R)
}
}
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