h5mread_from_reshaped: Read data from a virtually reshaped HDF5 dataset
In HDF5Array: HDF5 backend for DelayedArray objects

Description Usage Arguments Value See Also Examples

An h5mread wrapper that reads data from a virtually reshaped HDF5 dataset.

1 2	h5mread_from_reshaped(filepath, name, dim, starts, noreduce=FALSE, as.integer=FALSE, method=0L)

`filepath`	The path (as a single string) to the HDF5 file where the dataset to read from is located.
`name`	The name of the dataset in the HDF5 file.
`dim`	A vector of dimensions that describes the virtual reshaping i.e. the reshaping that is virtually applied upfront to the HDF5 dataset to read from. Note that the HDF5 dataset is treated as read-only so never gets effectively reshaped, that is, the dataset dimensions encoded in the HDF5 file are not mmodified. Also please note that arbitrary reshapings are not supported. Only reshapings that reduce the number of dimensions by collapsing a group of consecutive dimensions into a single dimension are supported. For example, reshaping a 10 x 3 x 5 x 1000 array as a 10 x 15 x 1000 array or as a 150 x 1000 matrix is supported.
`starts`	A multidimensional subsetting index with respect to the reshaped dataset, that is, a list with one list element per dimension in the reshaped dataset. Each list element in `starts` must be a vector of valid positive indices along the corresponding dimension in the reshaped dataset. An empty vector (`integer(0)`) is accepted and indicates an empty selection along that dimension. A `NULL` is accepted and indicates a full selection along the dimension so has the same meaning as a missing subscript when subsetting an array-like object with `[`. (Note that for `[` a `NULL` subscript indicates an empty selection.)
`noreduce, as.integer, method`	See `?h5mread` for a description of these arguments.

An array.

h5mread.

## ---------------------------------------------------------------------
## BASIC USAGE
## ---------------------------------------------------------------------
a1 <- array(1:350, c(10, 5, 7))
A1 <- writeHDF5Array(a1, name="A1")

## Collapse the first 2 dimensions:
h5mread_from_reshaped(path(A1), "A1", dim=c(50, 7),
                      starts=list(8:11, NULL))
h5mread_from_reshaped(path(A1), "A1", dim=c(50, 7),
                      starts=list(8:11, NULL))

## Collapse the last 2 dimensions:
h5mread_from_reshaped(path(A1), "A1", dim=c(10, 35),
                      starts=list(NULL, 3:11))

a2 <- array(1:150000 + 0.1*runif(150000), c(10, 3, 5, 1000))
A2 <- writeHDF5Array(a2, name="A2")

## Collapse the 2nd and 3rd dimensions:
h5mread_from_reshaped(path(A2), "A2", dim=c(10, 15, 1000),
                      starts=list(NULL, 8:11, 999:1000))

## Collapse the first 3 dimensions:
h5mread_from_reshaped(path(A2), "A2", dim=c(150, 1000),
                      starts=list(71:110, 999:1000))