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Specialized date and time classes that use integer storage for memory efficiency and faster arithmetic operations.
Distinct from Integer-Based Temporal Indexing: Distinct from Integer-Based Temporal Indexing: focuses on the data class implementation for storage and arithmetic, not the indexing structure itself.
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This project is a high-performance tabular data processing framework for R, designed to handle massive datasets with memory efficiency and speed. It provides an enhanced data structure that utilizes reference semantics and in-place modification to perform complex transformations without the overhead of unnecessary object copying. The library distinguishes itself through its low-level architectural optimizations, including multi-threaded parallel processing, radix-based sorting, and memory-mapped file parsing. By offloading critical data manipulation and aggregation routines to compiled C code
Provides specialized date and time classes that use integer storage for memory efficiency and faster arithmetic operations.