Lazy Delayed Arrays with Fused Execution
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Documentation for package ‘delarr’ version 0.1.0
Help Pages
| as.matrix.delarr | Materialise a delayed matrix as a base matrix |
| block_apply | Apply a function to streamed matrix blocks |
| collect | Materialise a delayed matrix |
| collect_shard | Parallel collect using shard's shared-memory workers |
| colMeans2 | Column means for delayed matrices |
| colMeans2.delarr | Column means for a delayed matrix |
| delarr | Create a delayed matrix |
| delarr_backend | Wrap a custom backend as a delayed matrix |
| delarr_hdf5 | Create a delayed array sourced from an HDF5 dataset |
| delarr_mem | Create a delayed matrix from an in-memory matrix |
| delarr_mmap | Create a delayed matrix from a memory-mapped file |
| delarr_seed | Construct a seed backend for 'delarr' |
| delarr_seed_nd | Construct an N-dimensional seed backend for 'delarr' |
| delarr_shard | Create a delayed array backed by shared memory |
| dim.delarr | Dimensions of a delayed array |
| dim.delarr_seed | Dimensions for a 'delarr_seed' |
| dimnames.delarr | Dimension names for a delayed array |
| d_aperm | Permute dimensions of a delayed array |
| d_center | Center a delayed matrix along rows or columns |
| d_detrend | Detrend a delayed matrix |
| d_map | Apply an elementwise transformation lazily |
| d_map2 | Apply a binary elementwise transformation lazily |
| d_matmul | Delayed matrix multiplication |
| d_reduce | Reduce along a dimension lazily |
| d_reduce_many | Run multiple reductions and collect results |
| d_scale | Scale a delayed matrix along rows or columns |
| d_transpose | Transpose a delayed matrix |
| d_where | Apply a boolean mask to a delayed matrix |
| d_zscore | Z-score a delayed matrix |
| explain | Explain a delayed execution plan |
| hdf5_writer | HDF5 writer for streaming 'collect()' |
| Ops.delarr | Arithmetic and comparison operators for 'delarr' |
| optimize_delarr | Optimize a delayed pipeline |
| print.delarr | Pretty-print a delayed matrix |
| profile_collect | Profile 'collect()' runtime |
| read_hdf5 | Read a matrix from an HDF5 file |
| rowMeans2 | Row means for delayed matrices |
| rowMeans2.delarr | Row means for a delayed matrix |
| shard_writer | Shared-memory writer for streaming 'collect()' |
| write_hdf5 | Write a matrix to an HDF5 file |
| [.delarr | Subset a delayed array |