Beyond histograms and box plots: Some commands for univariate distribution graphics

Nicholas Cox

2021 Stata Conference from Stata Users Group

Abstract: Whatever we do in statistical science should be rooted in careful and comprehensive description and exploration of the data. This presentation surveys various commands by the author for plotting univariate distributions, without neglecting the need for concise and genuinely informative numerical summaries. Graphical highlights include qplot (SJ) and multqplot (SJ) for quantile plots, the complementary distplot (SJ) for (empirical [cumulative]) distribution plots, multidensity (SSC) for density function estimates, stripplot (SSC) for strip plots and much more, and transplot (SSC) for trying out transformations. Numerical highlights include moments (SSC) as a convenience wrapper for summarize results and (last but not least) lmoments (SSC) for the greatly underappreciated L-moments and derived statistics.

Date: 2021-08-07
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Persistent link: https://EconPapers.repec.org/RePEc:boc:scon21:4

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