Functional diversity is widely used and widespread. However, the main packages used to compute functional diversity indices are not flexible and not adapted to the volume of data used in modern ecological analyses. We here present fundiversity, an R package that eases the computation of classical functional diversity indices. It leverages parallelization and memoization (caching results in memory) to maximize efficiency with data with thousands of columns and rows. We also did a performance comparison with packages that provide analog functions. In addition to being more flexible, fundiversity was always an order of magnitude quicker than alternatives. fundiversity aims to be a lightweight, efficient tool to compute functional diversity indices, which can be used in a variety of contexts. Because it has been designed following clear principles, it is easy to extend. We hope the wider community will adopt it and we welcome all contributions.

中文翻译：

---

fundiversity：用于计算功能多样性指数的模块化 R 包

功能多样性被广泛使用和广泛使用。然而，用于计算功能多样性指数的主要包并不灵活，也不适应现代生态分析中使用的数据量。我们在这里介绍 fundiversity，这是一个简化经典功能多样性指数计算的 R 包。它利用并行化和记忆化（在内存中缓存结果）来最大限度地提高处理具有数千列和行的数据的效率。我们还与提供模拟功能的封装进行了性能比较。除了更灵活之外，资金多样性总是比替代方案快一个数量级。fundiversity 旨在成为一种轻量级、高效的工具来计算功能多样性指数，可用于各种环境。因为它是按照明确的原则设计的，它很容易扩展。我们希望更广泛的社区能够采用它，我们欢迎所有贡献。