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From |
adiallo5@worldbank.org |

To |
statalist@hsphsun2.harvard.edu |

Subject |
RE: st: kdensity |

Date |
Mon, 25 Apr 2005 15:14:05 -0400 |

The cumul command provides a smoother plot than displot. e.g.: sysuse auto kdensity mpg, g(a b) nograph cumul b, g(cb) line cb b displot line mpg Amadou DIALLO. "Nick Cox" <n.j.cox@durham.ac.uk> To: <statalist@hsphsun2.harvard.edu> Sent by: cc: owner-statalist@hsphsun2. Subject: RE: st: kdensity harvard.edu 04/25/2005 05:58 AM Please respond to statalist If you want a plot of a (?smoothed) distribution function, this is at best a rather indirect route. Note first that -distplot- is a program dedicated to plotting distribution functions. -search distplot- points to locations. It is smart enough that you can go directly to something like . distplot line Y X without doing overlays. If the results are not smooth enough, an alternative is to base a plot on estimated rather than observed quantiles. One command for quantile estimation is -hdquantile- from SSC. Nick n.j.cox@durham.ac.uk Amadou Diallo > I used to: > kdensity X, gen(aa bb) nogr > cumul bb, g(cum_bb) > ksm cum_bb bb > ? > If you want the density at each point > you could : > qui cou > local n = r(N) > kdensity X, gen(aa bb) nogr n(`n') > etc... Branko Milanovic > When you do kdensity X, STATA charts a kernel density fct of X's. Now, > is there a command that would allow me to take the density > function thus > generated and chart a cumulative density (or distribution) function? > Ideally, I would like to do that for both densities, that is > to go from a overlay graph > > twoway (kdensity X) (kdensity Y) > > To a similar overlay graph of two cumulative density functions. > > Or is the only way to use: > > kdensity X, gen(aa bb) > > And then generate a cumulative function of aa? By the way, I > tried that but the graph did not turn out well. * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**RE: st: kdensity***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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