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### ============================================================================
### colQuantiles
###
### ----------------------------------------------------------------------------
### Non-exported methods
###
.DelayedMatrix_block_colQuantiles <-
function(x, rows = NULL, cols = NULL,
probs = seq(from = 0, to = 1, by = 0.25), na.rm = FALSE, type = 7L,
..., useNames = TRUE, drop = TRUE) {
# Check input type
stopifnot(is(x, "DelayedMatrix"))
DelayedArray:::.get_ans_type(x, must.be.numeric = FALSE)
# Subset
x <- ..subset(x, rows, cols)
# Compute result
val <- colblock_APPLY(x = x,
FUN = colQuantiles,
probs = probs,
na.rm = na.rm,
type = type,
...,
useNames = useNames,
drop = FALSE)
if (length(val) == 0L) {
return(numeric(ncol(x)))
}
val <- do.call(rbind, val)
if (useNames) {
rownames(val) <- colnames(x)
}
if (drop && any(dim(val)==1L)) {
return(drop(val))
}
val
}
### ----------------------------------------------------------------------------
### Exported methods
###
# ------------------------------------------------------------------------------
# General method
#
#' @inherit MatrixGenerics::colQuantiles
#' @importMethodsFrom DelayedArray seed
#' @rdname colQuantiles
#' @template common_params
#' @template lowercase_x
#' @export
#' @template example_dm_df
#' @author Peter Hickey
#' @examples
#'
#' # colnames, if present, are preserved as rownames on output
#' colQuantiles(dm_df)
setMethod("colQuantiles", "DelayedMatrix",
function(x, rows = NULL, cols = NULL,
probs = seq(from = 0, to = 1, by = 0.25), na.rm = FALSE,
type = 7L, force_block_processing = FALSE, ...,
useNames = TRUE, drop = TRUE) {
.smart_seed_dispatcher(x, generic = MatrixGenerics::colQuantiles,
blockfun = .DelayedMatrix_block_colQuantiles,
force_block_processing = force_block_processing,
rows = rows,
cols = cols,
probs = probs,
na.rm = na.rm,
type = type,
...,
useNames = useNames,
drop = drop)
}
)
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