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.
CITATION STYLE
Ucar, I., Pebesma, E., & Azcorra, A. (2019). Measurement errors in R. R Journal, 10(2), 549–557. https://doi.org/10.32614/RJ-2018-075
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