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Enhancing Your Output

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R for Stata Users

Part of the book series: Statistics and Computing ((SCO))

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Abstract

As we have seen, R output is quite sparse and not nicely formatted for word processing. As in Stata, you can improve R’s output by adding value and variable labels. You can also format the output to make beautiful tables to use with word processors, web pages, and document preparation systems.

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References

  1. David B. Dahl. xtable: Export tables to LaTeX or HTML. Available from http://cran.r-project.org, 2009. R package version 1.5-5.

  2. Martin Elff. memisc: Tools for Management of Survey Data, Graphics, Programming, Statistics, and Simulation. Available from http://cran.r-project.org, 2009. R package version 0.95-22.

  3. Jr. Frank E. Harrell and with contributions from many other users. Hmisc: Harrell Miscellaneous. Available from http://cran.r-project.org, 2008. R package version 3.5-2.

  4. Roger Koenker. quantreg: Quantile Regression. Available from http://cran.r-project.org, 2009. R package version 4.38.

  5. Max Kuhn and Steve Weaston. odfWeave: Sweave processing of Open Document Format (ODF) files. Available from http://cran.r-project.org, 2009.

  6. Eric Lecoutre. The R2HTML package. R News, 3(3):33–36, 2003. Available from http://cran.r-project.org.

  7. Friedrich Leisch. Sweave: Dynamic generation of statistical reportsusing literate data analysis. In Wolfgang Härdle and Bernd Rönz, editors, Compstat 2002 –- Proceedings in Computational Statistics, pages 575–580. Physica Verlag, 2002.

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  8. Jim Lemon and Philippe Grosjean. prettyR: Pretty descriptive stats. Available from http://cran.r-project.org, 2009.

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Author information

Authors and Affiliations

  1. Statistical Consulting Center, Stokeley Management Center, University of Tennessee Office of Information Technology, 916 Volunteer Blvd., Knoxville, TN, 37996-0520, USA

    Robert A. Muenchen

  2. 7242 W. Heritage Way, Florence, Arizona, 85132, USA

    Joseph M. Hilbe

Authors
  1. Robert A. Muenchen
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  2. Joseph M. Hilbe
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Corresponding author

Correspondence to Robert A. Muenchen .

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Muenchen, R.A., Hilbe, J.M. (2010). Enhancing Your Output. In: R for Stata Users. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1318-0_11

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