文章基本信息

标题：Measurement Errors in R
本地全文：下载
作者：Iñaki Ucar ; Edzer Pebesma ; Arturo Azcorra 等
期刊名称：R News
印刷版ISSN：1609-3631
出版年度：2018
卷号：10
期号：2
页码：549-557
语种：English
出版社：The R Foundation for Statistical Computing
摘要：This paper presents an R package to handle and represent measurements with errors in a very simple way. We briefly introduce the main concepts of metrology and propagation of uncertainty, and discuss related R packages. Building upon this, we introduce the errors package, which provides a class for associating uncertainty metadata, automated propagation and reporting. Working with errors enables transparent, lightweight, less error-prone handling and convenient representation of measurements with errors. Finally, we discuss the advantages, limitations and future work of computing with errors.