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### ============================================================================
### colRanks
###
### ----------------------------------------------------------------------------
### Non-exported methods
###
.DelayedMatrix_block_colRanks <-
function(x, rows = NULL, cols = NULL,
ties.method = c("max", "average", "first", "last", "random", "max", "min", "dense"),
preserveShape = FALSE, ..., useNames = TRUE) {
# Check input type
ties.method <- match.arg(ties.method)
stopifnot(is(x, "DelayedMatrix"))
DelayedArray:::.get_ans_type(x, must.be.numeric = TRUE)
# Subset
x <- ..subset(x, rows, cols)
# Compute result
val <- colblock_APPLY(x = x,
FUN = colRanks,
ties.method = ties.method,
preserveShape = preserveShape,
...,
useNames = useNames)
if (length(val) == 0L) {
return(numeric(ncol(x)))
}
val <- do.call(rbind, val)
if (!useNames) {
val <- unname(val)
}
val
}
### ----------------------------------------------------------------------------
### Exported methods
###
# ------------------------------------------------------------------------------
# General method
#
#' @inherit MatrixGenerics::colRanks
#' @importMethodsFrom DelayedArray seed
#' @rdname colRanks
#' @template common_params
#' @template lowercase_x
#' @export
#' @template example_dm_MatrixMatrix
#' @author Peter Hickey
#' @examples
#'
#' colRanks(dm_Matrix)
setMethod("colRanks", "DelayedMatrix",
function(x, rows = NULL, cols = NULL,
ties.method = c("max", "average", "first", "last", "random", "max", "min", "dense"),
preserveShape = FALSE,
force_block_processing = FALSE, ..., useNames = TRUE) {
ties.method <- match.arg(ties.method)
.smart_seed_dispatcher(x, generic = MatrixGenerics::colRanks,
blockfun = .DelayedMatrix_block_colRanks,
force_block_processing = force_block_processing,
rows = rows,
cols = cols,
ties.method = ties.method,
preserveShape = preserveShape,
...,
useNames = useNames)
}
)
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