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
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of collapse!