"rtry":支持植物特征数据预处理的R包
Olee Hoi Ying Lam1,2, Jens Kattge2,3, Susanne Tautenhahn2
1Department of Forest and Wildlife Ecology University of Wisconsin-Madison, Russell Laboratories Madison Wisconsin USA.
Ecology and evolution
|May 10, 2024
概括
试验R包简化了从TRY倡议和其他来源获得的植物特征数据的预处理. 它通过提供用户友好的过和探索功能来提高生态研究的数据质量.
科学领域:
- 生态生态学 生态生态学
- 生物信息学是一种生物信息学.
- 数据科学数据科学数据科学
背景情况:
- 植物特征数据对于理解生态系统功能和植物对环境因素的反应至关重要.
- 对特征的相互作用影响和非标准化的测量协议在数据解释方面带来了挑战.
- TRY倡议提供了一个大型的,集成的植物特征数据数据库,以及相关的辅助信息.
研究的目的:
- 引入"rtry"R包,旨在高效地预处理植物特征数据.
- 为使用大型植物特征数据集工作的用户简化数据探索和过.
- 改善植物特征数据的可访问性和可用性,用于生态研究.
主要方法:
- 开发"rtry"R包,整合基本的预处理功能.
- 专注于数据探索和过,不包括数据检索和分析.
- 为R用户提供一致的语法,包括初学者.
- 用TRY数据展示实用性,并扩展到其他来源,如NEON.
主要成果:
- "rtry"包为植物特征数据预处理提供了一个用户友好的界面.
- 它简化了复杂的过和探索任务,提高了数据质量.
- 该软件包可在CRAN和GitHub上获得,并附有全面的文档.
结论:
- "rtry"套件显著帮助研究人员准备植物特征数据进行分析.
- 它的设计使得更容易使用来自TRY.这样的倡议的大型数据集.
- 改进的数据预处理支持更强大的生态研究和对植物特征的理解.
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