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#' @title Minimum (MATLAB version)
#' @description Finds the minimum value for each column of a matrix, potentially
#' returning the indices instead
#' @param X matrix
#' @param indices return indices?
#' @importFrom methods is
#' @author Waldir Leoncio
#' @return Either a list or a vector
#' @export
#' @examples
#' A <- matrix(c(23, 42, 37, 15, 52))
#' min(A)
#' base::min(A) # for comparison
min <- function(X, indices = TRUE) {
if (!is(X, "matrix")) X <- as.matrix(X)
mins <- apply(X, 2, base::min)
idx <- vapply(
X = seq_len(ncol(X)),
FUN = function(x) match(mins[x], X[, x]),
FUN.VALUE = vector("numeric", ncol(X))
)
if (indices) {
return(list(mins = mins, idx = idx))
} else {
return(mins)
}
}
#' @title Maximum (MATLAB version)
#' @description Finds the minimum value for each column of a matrix, potentially
#' returning the indices instead
#' @param X matrix
#' @param indices return indices?
#' @author Waldir Leoncio
#' @return Either a list or a vector
#' @export
#' @examples
#' A <- matrix(c(23, 42, 37, 15, 52))
#' max(A)
#' base::max(A) # for comparison
max <- function(X, indices = TRUE) {
if (!is(X, "matrix")) X <- as.matrix(X)
maxs <- apply(X, 2, base::max)
idx <- vapply(
X = seq_len(ncol(X)),
FUN = function(x) match(maxs[x], X[, x]),
FUN.VALUE = ncol(X)
)
if (indices) {
return(list(maxs = maxs, idx = idx))
} else {
return(maxs)
}
}
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