Monitoring Data in R with the lumberjack Package

被引:7
|
作者
van der Loo, Mark P. J. [1 ]
机构
[1] Stat Netherlands, Res & Dev, Henri Faasdreef 312, NL-2492 JP The Hague, Netherlands
来源
JOURNAL OF STATISTICAL SOFTWARE | 2021年 / 98卷 / 01期
关键词
data quality; process monitoring; logging; debugging; R;
D O I
10.18637/jss.v098.i01
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Monitoring data while it is processed and transformed can yield detailed insight into the dynamics of a (running) production system. The lumberjack package is a lightweight package allowing users to follow how an R object is transformed as it is manipulated by R code. The package abstracts all logging code from the user, who only needs to specify which objects are logged and what information should be logged. A few default loggers are included with the package but the package is extensible through user-defined logger objects.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 50 条
  • [11] Wrapped: An R package for circular data
    Nadarajah, Saralees
    Zhang, Yuanyuan
    PLOS ONE, 2017, 12 (12):
  • [12] The lrd package: An R package and Shiny application for processing lexical data
    Maxwell, Nicholas P.
    Huff, Mark J.
    Buchanan, Erin M.
    BEHAVIOR RESEARCH METHODS, 2022, 54 (04) : 2001 - 2024
  • [13] The lrd package: An R package and Shiny application for processing lexical data
    Nicholas P. Maxwell
    Mark J. Huff
    Erin M. Buchanan
    Behavior Research Methods, 2022, 54 : 2001 - 2024
  • [14] Monitoring Convergence in the European Union with the convergEU Package for R
    Stefanini, Federico M.
    Nikiforova, Nedka D.
    Peruffo, Eleonora
    Bisello, Martina
    Litardi, Chiara
    Mascherini, Massimiliano
    AUSTRIAN JOURNAL OF STATISTICS, 2023, 52 (04) : 46 - 94
  • [15] ppseq: An R Package for Sequential Predictive Probability Monitoring
    Zabor, Emily C.
    Hobbs, Brian P.
    Kane, Michael J.
    R JOURNAL, 2022, 14 (04): : 280 - 290
  • [16] Safety management and flight data monitoring package
    不详
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2009, 81 (04): : 373 - 374
  • [17] Hyperspectral Data Analysis in R: The hsdar Package
    Lehnert, Lukas W.
    Meyer, Hanna
    Obermeier, Wolfgang A.
    Silva, Brenner
    Regeling, Bianca
    Thies, Boris
    Bendix, Jorg
    JOURNAL OF STATISTICAL SOFTWARE, 2019, 89 (12):
  • [18] ordinalClust: An R Package to Analyze Ordinal Data
    Selosse, Margot
    Jacques, Julien
    Biernacki, Christophe
    R JOURNAL, 2020, 12 (02): : 61 - 81
  • [19] An R package for analyzing and modeling ranking data
    Paul H Lee
    Philip LH Yu
    BMC Medical Research Methodology, 13
  • [20] good : An R package for modelling count data
    Agis, David
    Tur, Jordi
    Morina, David
    Puig, Pedro
    Fernandez-Fontelo, Amanda
    METHODS IN ECOLOGY AND EVOLUTION, 2024, 15 (12): : 2192 - 2197