collapse is a high-performance R package designed for fast and efficient data transformation, aggregation, reshaping, and statistical computation. Built to offer a more performant alternative to dplyr and data.table, it is particularly well-suited for large datasets and econometric applications. It operates on base R data structures like data frames and vectors and uses highly optimized C++ code under the hood to deliver significant speed improvements. collapse also includes tools for grouped operations, weighted statistics, and time series manipulation, making it a compact yet powerful utility for data scientists and researchers working in R.
Features
- Ultra-fast data aggregation and transformation
- Weighted and grouped statistical functions
- Full compatibility with base R and data.table structures
- Efficient reshaping and pivoting capabilities
- Low memory overhead and highly optimized C++ backend
- Functions for time series operations and panel data
- S3 methods for easy integration into R pipelines
- Lightweight and dependency-free installation
Project Samples
Categories
Stream ProcessingLicense
GNU Free Documentation LicenseFollow collapse
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