r-collapse

What problem does it solve?

This Skill addresses performance bottlenecks in R when dealing with large datasets and complex grouped or weighted statistical operations, offering a significantly faster alternative to packages like dplyr for specific tasks.

Core Features & Use Cases

• High-Performance Aggregation: Utilizes C/C++ backend for grouped and weighted statistics, achieving speeds 50-100x faster than dplyr.
• Panel Data Operations: Efficiently handles time-series cross-sectional data with functions for within/between transformations, lags, and differences.
• Versatile Data Handling: Works seamlessly with various R data frame types (tibbles, data.tables, xts).
• Use Case: When analyzing a large panel dataset with millions of rows and needing to compute group-wise means and standard deviations, r-collapse can perform these operations orders of magnitude faster than traditional methods.

Quick Start

Use the r-collapse skill to compute the mean of the 'value' column grouped by 'category' in the provided data.