From 015c45c8278c07fb7d9d8bb8bbf1ac7a398896c1 Mon Sep 17 00:00:00 2001 From: Sebastian Krantz Date: Tue, 1 Oct 2024 00:56:35 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f52f0ce9..4a5f3fea 100644 --- a/README.md +++ b/README.md @@ -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. +*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. ## Installation