Measurement Errors in R
Computation
2019-08-02 v2
Abstract
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.
Cite
@article{arxiv.1804.08552,
title = {Measurement Errors in R},
author = {Iñaki Ucar and Edzer Pebesma and Arturo Azcorra},
journal= {arXiv preprint arXiv:1804.08552},
year = {2019}
}
Comments
10 pages, 2 figures