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Creating HTML or Markdown documents from within Stata using webdoc

Author

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  • Ben Jann

Abstract

This paper discusses the use of -webdoc- for creating HTML or Markdown documents from within Stata. The -webdoc- command provides a way to embed HTML or Markdown code directly in a do-file and to automate the integration of results from Stata in the final document. The command can be used, for example, to create a webpage documenting your data analysis, including all Stata output and graphs. More generally, the command can be used to create and maintain a website that contains results computed by Stata.

Suggested Citation

  • Ben Jann, 2016. "Creating HTML or Markdown documents from within Stata using webdoc," University of Bern Social Sciences Working Papers 22, University of Bern, Department of Social Sciences, revised 17 Jan 2017.
    • Handle: RePEc:bss:wpaper:22
    DOI: 10.7892/boris.139335
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    References listed on IDEAS

    as
    1. P. Wilner Jeanty, 2010. "HLP2HTML: Stata module to translate a list of Stata help files to HTML," Statistical Software Components S457209, Boston College Department of Economics.
    2. Roger Newson, 2009. "LISTTAB: Stata module to list variables as rows of a TeX, HTML or word processor table," Statistical Software Components S457088, Boston College Department of Economics, revised 09 Jul 2021.
    3. Ben Jann, 2007. "Making regression tables simplified," Stata Journal, StataCorp LLC, vol. 7(2), pages 227-244, June.
    4. Niels Henrik Bruun, 2016. "LOG2MARKUP: Stata module to transform a Stata text log into a markup document," Statistical Software Components S458147, Boston College Department of Economics, revised 26 Aug 2020.
    5. Llorenç Quintó & Sergi Sanz & Elisa De Lazzari & John J. Aponte, 2012. "HTML output in Stata," Stata Journal, StataCorp LLC, vol. 12(4), pages 702-717, December.
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    Citations

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    Cited by:

    1. Ben Jann, 2022. "sttex: A new dynamic document command for Stata and LaTeX," Northern European Stata Conference 2022 11, Stata Users Group.
    2. Valérie Orozco & Christophe Bontemps & Elise Maigné & Virginie Piguet & Annie Hofstetter & Anne Lacroix & Fabrice Levert & Jean‐Marc Rousselle, 2020. "How To Make A Pie: Reproducible Research For Empirical Economics And Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1134-1169, December.
    3. Valérie Orozco & Christophe Bontemps & Élise Maigné & Virginie Piguet & Annie Hofstetter & Anne Marie Lacroix & Fabrice Levert & Jean-Marc Rousselle, 2017. "How to make a pie? Reproducible Research for Empirical Economics & Econometrics," Post-Print hal-01939942, HAL.

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    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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