1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
|
### ============================================================================
### rowRanks
###
### ----------------------------------------------------------------------------
### Non-exported methods
###
.DelayedMatrix_block_rowRanks <-
function(x, rows = NULL, cols = NULL,
ties.method = c("max", "average", "first", "last", "random", "max", "min", "dense"), ..., 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 <- rowblock_APPLY(x = x,
FUN = rowRanks,
ties.method = ties.method,
...,
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::rowRanks
#' @importMethodsFrom DelayedArray seed
#' @rdname colRanks
#' @export
#' @examples
#'
#' rowRanks(dm_Matrix)
setMethod("rowRanks", "DelayedMatrix",
function(x, rows = NULL, cols = NULL,
ties.method = c("max", "average", "first", "last", "random", "max", "min", "dense"),
force_block_processing = FALSE, ..., useNames = TRUE) {
ties.method <- match.arg(ties.method)
.smart_seed_dispatcher(x, generic = MatrixGenerics::rowRanks,
blockfun = .DelayedMatrix_block_rowRanks,
force_block_processing = force_block_processing,
rows = rows,
cols = cols,
ties.method = ties.method,
...,
useNames = useNames)
}
)
|
