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SebKrantz authored Sep 30, 2024
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Expand Up @@ -50,7 +50,7 @@ It further implements a [class-agnostic approach to R programming](https://sebkr
* **Advanced data exploration**: Fast (grouped, weighted, panel-decomposed)
summary statistics and descriptive tools.

*collapse* is written in C and C++ and only depends on *Rcpp*. Its algorithms are multiple times faster than base R's, scale well to <= 1 billion obs (benchmarks: [linux](https://duckdblabs.github.io/db-benchmark/) | [windows](https://github.com/AdrianAntico/Benchmarks?tab=readme-ov-file#benmark-results)), and very efficient for complex tasks (e.g. quantiles, weighted stats, mode/counting/deduplication, joins). Optimized R code ensures minimal overheads. <!-- , but imports C/C++ functions from *fixest*, *weights*, *RcppArmadillo*, and *RcppEigen* for certain statistical tasks. -->
*collapse* is written in C and C++ and only depends on *Rcpp*. Its algorithms are multiple times faster than base R's, scale well (benchmarks: [linux](https://duckdblabs.github.io/db-benchmark/#gb) | [windows](https://github.com/AdrianAntico/Benchmarks?tab=readme-ov-file#benmark-results)), and very efficient for complex tasks (e.g. quantiles, weighted stats, mode/counting/deduplication, joins). Optimized R code ensures minimal overheads. <!-- , but imports C/C++ functions from *fixest*, *weights*, *RcppArmadillo*, and *RcppEigen* for certain statistical tasks. -->

## Installation

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