##
## Matrix
##
## Created by Daniel Rodríguez Pérez on 18/12/2013.
##
## Copyright (c) 2013 Daniel Rodríguez Pérez.
##
## This program is free software: you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation, either version 3 of the License, or
## (at your option) any later version.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program. If not, see <http://www.gnu.org/licenses/>
##
.validateMatrix <- function(x) {
if (is.data.frame(x))
x <- as.matrix(x)
if (!is.array(x) || length(dn <- dim(x)) < 2L)
stop("'x' must be an array of at least two dimensions")
}
#' Form Row and Column Min and Max
#'
#' Form row and column min and max for numeric arrays.
#'
#' @param x an array of two or more dimensions, containing numeric values
#' @param na.rm logical. Should missing values (including NaN) be omitted from the calculations?
#'
#' @rdname colMin
#' @export colMin
#' @aliases colMin
colMin <- function(x, na.rm = FALSE) {
.validateMatrix(x)
result <- apply(x, 2, min, na.rm = na.rm)
return(result)
}
#' @rdname colMin
#' @export rowMin
#' @aliases rowMin
rowMin <- function(x, na.rm = FALSE) {
.validateMatrix(x)
result <- apply(x, 1, min, na.rm = na.rm)
return(result)
}
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