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Graphics (and numerics) for univariate distributions

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  • Nicholas J. Cox

    () (Durham University)

Abstract

How to plot (and summarize) univariate distributions is a staple of introductory data analysis. Graphical (and numerical) assessment of marginal and conditional distributions remains important for much statistical modeling. Research problems can easily evoke needs for many comparisons, across groups, across variables, across models, and so forth. Over several centuries, many methods have been suggested, and their relative merits are a source of lively ongoing debate. I offer a selective but also detailed review of Stata functionality for univariate distributions. The presentation ranges from official Stata commands through various user-written commands, including some new programs, to suggestions on how to code your own graphics commands when other sources fail. I also discuss both continuous and discrete distributions. The tradeoff between showing detail and allowing broad comparisons is an underlying theme.

Suggested Citation

  • Nicholas J. Cox, 2012. "Graphics (and numerics) for univariate distributions," SAN12 Stata Conference 25, Stata Users Group.
  • Handle: RePEc:boc:scon12:25
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