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#' Convert (p x k x n) data array into 2D data matrix
#'
#' @description Convert a three-dimensional array of landmark coordinates into a two-dimensional matrix
#'
#' @param A A 3D array (p x k x n) containing landmark coordinates for a set of specimens
#'
#' @return Function returns a two-dimensional matrix of dimension (n x [p x k]),
#' where rows represent specimens and columns represent variables.
#' The p first columns correspond to X coordinates, etc.
#'
#' @seealso \code{\link{xxyy.to.array}}
#'
#' @examples
#' A <- array(rnorm(40), c(5, 2, 4)) # random 2D coordinates of 5 landmarks for 4 specimens
#' array.to.xxyy(A)
#'
#' @export
array.to.xxyy <- function (A) {
if (!is.array(A) | length(dim(A)) != 3)
stop("'A' must be a 3D array (see 'array.to.xxyy').")
M <- t(A[, 1, ]) # X coordinates
for (i in 2:dim(A)[2]) {
M <- cbind(M, t(A[, i, ]))
}
rownames(M) <- dimnames(A)[[3]]
cnames <- c(paste(1:dim(A)[1], "X", sep = ""),
paste(1:dim(A)[1], "Y", sep = ""))
if (dim(A)[2] == 2)
colnames(M) <- cnames
if (dim(A)[2] == 3)
colnames(M) <- c(cnames, paste(1:dim(A)[1], "Z", sep = ""))
return(M)
}
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