  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.
