| read_block {DelayedArray} | R Documentation |
2 utilities for reading/writing blocks from/to an array-like object.
read_block(x, viewport) write_block(x, viewport, block)
x |
An array-like object. |
viewport |
An ArrayViewport object. |
block |
An ordinary array of the same dimensions as |
ArrayViewport objects.
blockGrid to define grids to use in the context
of block processing of array-like objects.
blockApply for more information about block processing
of array-like objects.
DelayedArray objects.
array objects in base R.
m0 <- matrix(1:30, ncol=5)
block_dim <- c(4, 3)
viewport1 <- ArrayViewport(dim(m0), IRanges(c(3, 2), width=block_dim))
viewport1
block1 <- read_block(m0, viewport1)
block1
## No-op:
write_block(m0, viewport1, block1)
stopifnot(identical(m0, write_block(m0, viewport1, block1)))
write_block(m0, viewport1, block1 + 100L)
viewport2 <- ArrayViewport(dim(m0), IRanges(c(1, 3), width=block_dim))
write_block(m0, viewport2, block1 + 100L)
## Using a grid:
grid0 <- RegularArrayGrid(dim(m0), spacings=c(3L, 2L))
grid0
length(grid0) # number of blocks defined by the grid
read_block(m0, grid0[[3L]]) # read 3rd block
read_block(m0, grid0[[1L, 3L]])
## Walk on the grid, colum by column:
m1 <- m0
for (bid in seq_along(grid0)) {
viewport <- grid0[[bid]]
block <- read_block(m1, viewport)
block <- bid * 1000L + block
m1 <- write_block(m1, viewport, block)
}
m1
## Walk on the grid, row by row:
m2 <- m0
for (i in seq_len(dim(grid0)[[1]])) {
for (j in seq_len(dim(grid0)[[2]])) {
viewport <- grid0[[i, j]]
block <- read_block(m2, viewport)
block <- (i * 10L + j) * 1000L + block
m2 <- write_block(m2, viewport, block)
}
}
m2