[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
RE: st: kdensity
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-
> 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')
> 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: