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Speaking Stata: Graphing distributions

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Author Info

  • Nicholas J. Cox

    ()
    (University of Durham, UK)

Abstract

Graphing univariate distributions is central to both statistical graphics, in general, and StataÕs graphics, in particular. Now that Stata 8 is out, a review of official and user-written commands is timely. The emphasis here is on going beyond what is obviously and readily available, with pointers to minor and major trickery and various user-written commands. For plotting histogram-like displays, kerneldensity estimates and plots based on distribution functions or quantile functions, a large variety of choices is now available to the researcher. Copyright 2004 by StataCorp LP.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 4 (2004)
Issue (Month): 1 (March)
Pages: 66-88

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Handle: RePEc:tsj:stataj:v:4:y:2004:i:1:p:66-88

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Related research

Keywords: graphics; histogram; spikeplot; dotplot; onewayplot; kdensity; distplot; qplot; skewplot; bin width; rug; density function; kernel estimation; transformations; logarithmic scale; root scale; intensity function; distribution function; quantile function; skewness;

References

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  1. Philippe Van Kerm, 2003. "Adaptive kernel density estimation," Stata Journal, StataCorp LP, vol. 3(2), pages 148-156, June.
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Cited by:
  1. Nicholas J. Cox, 2005. "Speaking Stata: Density probability plots," Stata Journal, StataCorp LP, vol. 5(2), pages 259-273, June.
  2. Nicholas J. Cox, 2004. "Speaking Stata: Graphing agreement and disagreement," Stata Journal, StataCorp LP, vol. 4(3), pages 329-349, September.

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