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RE: st: kdensity


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: kdensity
Date   Mon, 25 Apr 2005 10:58:05 +0100

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.

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