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  • 标题:Measurement Errors in R
  • 本地全文:下载
  • 作者:Iñaki Ucar ; Edzer Pebesma ; Arturo Azcorra
  • 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.
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