Year: 2019
Type: article
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.
Source: The R Journal
DOI: 10.32614/rj-2018-075
Authors: Iñaki Ucar, Edzer Pebesma, Arturo Azcorra
Language: English
Topic: Data Analysis with R
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2798769378