Package index • delarr

Core

delarr(): Create a delayed matrix
delarr_seed(): Construct a seed backend for delarr
collect(): Materialise a delayed matrix
block_apply(): Apply a function to streamed matrix blocks

Backends

delarr_mem(): Create a delayed matrix from an in-memory matrix
delarr_hdf5(): Create a delayed matrix sourced from an HDF5 dataset
delarr_mmap(): Create a delayed matrix from a memory-mapped file
delarr_backend(): Wrap a custom backend as a delayed matrix

Verbs

d_map(): Apply an elementwise transformation lazily
d_map2(): Apply a binary elementwise transformation lazily
d_reduce(): Reduce along rows or columns lazily
d_reduce_many(): Run multiple reductions and collect results
d_center(): Center a delayed matrix along rows or columns
d_scale(): Scale a delayed matrix along rows or columns
d_zscore(): Z-score a delayed matrix
d_detrend(): Detrend a delayed matrix
d_where(): Apply a boolean mask to a delayed matrix
d_transpose(): Transpose a delayed matrix
d_matmul(): Delayed matrix multiplication

Summaries

rowMeans2(): Row means for delayed matrices
colMeans2(): Column means for delayed matrices

HDF5 I/O

write_hdf5(): Write a matrix to an HDF5 file
read_hdf5(): Read a matrix from an HDF5 file
hdf5_writer(): HDF5 writer for streaming collect()

Utilities

optimize_delarr(): Optimize a delayed pipeline
explain(): Explain a delayed execution plan
profile_collect(): Profile collect() runtime

S3 Methods

Ops(<delarr>): Arithmetic and comparison operators for delarr
as.matrix(<delarr>): Materialise a delayed matrix as a base matrix
colMeans2(<delarr>): Column means for a delayed matrix
dim(<delarr>): Dimensions of a delayed matrix
dim(<delarr_seed>): Dimensions for a delarr_seed
dimnames(<delarr>): Dimension names for a delayed matrix
print(<delarr>): Pretty-print a delayed matrix
rowMeans2(<delarr>): Row means for a delayed matrix
`[`(<delarr>): Subset a delayed matrix