broom: An R Package for Converting Statistical Analysis Objects Into Tidy Data Frames

Preprint English OPEN
Robinson, David;
(2014)
  • Subject: I.6 | Statistics - Methodology | Statistics - Computation | 62-07 | G.3
    acm: GeneralLiterature_MISCELLANEOUS

The concept of "tidy data" offers a powerful framework for structuring data to ease manipulation, modeling and visualization. However, most R functions, both those built-in and those found in third-party packages, produce output that is not tidy, and that is therefore d... View more
  • References (9)

    D. Bates, M. Maechler, B. Bolker, and S. Walker. lme4: Linear mixed-effects models using Eigen and S4., 2014. URL http://CRAN.R-project.org/package=lme4. R package version 1.1-7.

    T. Dasu and T. Johnson. Exploratory data mining and data cleaning. John Wiley, 2003.

    B. Efron and R. J. Tibshirani. An introduction to the bootstrap, volume 57. CRC press, 1994.

    J. Friedman, T. Hastie, and R. Tibshirani. Regularization paths for generalized linear models via coordinate descent. Journal of statistical software, 2010.

    M. Friendly. Lahman: Sean Lahman's Baseball Database, http://CRAN.R-project.org/package=Lahman. R package version 3.0-1.

    T. Hothorn, F. Bretz, and P. Westfall. Simultaneous inference in general parametric models. Biometrical Journal, 50(3):346-363, 2008.

    E. Rahm and H. H. Do. Data cleaning: Problems and current approaches. IEEE Data Eng Bull, 2000.

    Therneau. A Package for Survival Analysis in S, 2014.

    URL:http://CRAN.R-project.org/package=survival. R package version 2.37-7.

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