期刊
JOURNAL OF EXPERIMENTAL BIOLOGY
卷 220, 期 5, 页码 759-764出版社
COMPANY BIOLOGISTS LTD
DOI: 10.1242/jeb.148775
关键词
Biological rates; Time series; Local linear regression; Autocorrelation; Linearity; Reproducible research
类别
资金
- Monash University Dean's International Postgraduate Student Scholarship
- Australian Research Council
- Monash University Centre for Geometric Biology Post-Doctoral Fellowship
Accessing many fundamental questions in biology begins with empirical estimation of simple monotonic rates of underlying biological processes. Across a variety of disciplines, ranging from physiology to biogeochemistry, these rates are routinely estimated from non-linearand noisy timeseries data using linear regression and adhoc manual truncation of non- linearities. Here, we introduce the R package LoLinR, aflexible toolkit to implement local linear regression techniques to objectively and reproduciblyestimatemonotonic biological rates from non-linear time series data, and demonstrate possible applications using metabolic rate data. LoLinR provides methods to easily and reliably estimate monotonic rates from time series data in a way that is statistically robust, facilitates reproducible research and is applicable to a wide variety of research disciplines in the biological sciences.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据