# RE: st: converting non-integer weights into integer weights

 From "Stephen P Jenkins" <[email protected]> To <[email protected]> Subject RE: st: converting non-integer weights into integer weights Date Thu, 20 Nov 2003 08:47:25 -0000

```Why do you need to convert the weights to integers?  The -_pctile- and
-kdensity- commands accept aweights, and aweights can be non-integer?

Stephen

> > -----Original Message-----
> > From: [email protected]
> > [mailto:[email protected]]On Behalf Of Ramani
> > Gunatilaka
> > Sent: Thursday, 20 November 2003 10:42 AM
> > To: [email protected]
> > Subject: Re: st: converting non-integer weights into integer weights
> >
> >
> > Hi all,
> > I am sorry to bug you with this problem again but the solution that
> > Branko very kindly suggested didn't work for me. To recap
> briefly, I
> > need to use weights with the  _pctile and kdensity
> commands. But mine
> > are non-integer weights (for an example see my first mail
> below) and
> > even though I multiplied the weights by 100 as Branko
> suggested (since
> > they have only two decimal places) I get an error as follows:
> >
> >  use c:\data95\hhcons95, clear
> >
> > . keep x hhsize w
> >
> > . gen freq=hhsize*w*100
> >
> > . _pctile x [fweight=freq],
> > percentiles(5,10,15,20,25,30,35,40,45,50,55,60,65,7
> > > 0,75,80,85,90,95,99)
> >
> > may not use noninteger frequency weights
> > r(401);
> >
> > I have a hunch that multiplying the original weight by 100
> > long to be stored as an integer. The largest transformed
> weight then
> > becomes 7 digits.
> >
> > Would anybody have any ideas on this?
> >
> > Thanks so much,
> > Ramani
> >
> >
> >
> > [email protected] wrote:
> > >       Ramani,
> > >
> > > why don;t you multiply the weights by a hundred (or whatever; a
> > > thousand), and then create integers. kdensity should  work then.
> > >
> > >       best, branko
> > >
> > >
> > >
> > >
> > >    IMPORTANTISSIMO!!!
> > >    From around October 15, 2003 my new
> > >    Email address will be
> > >    [email protected]
> > >
> > >
> > >    ALL ABOUT INEQUALITY IN THE WORLD (AND MORE!)
> > >    http://www.worldbank.org/research/inequality/
> > >
> > >
> > >
> > >
> > >
> > > Ramani Gunatilaka
> > > <[email protected] To:
> > > ash.edu.au> [email protected]
> > > Sent by: cc:
> > > [email protected] Subject: st: Use of Weights
> in Kernel
> > > Density Estimation ard.edu
> > >
> > >
> > > 11/16/2003 09:11 AM
> > > Please respond to statalist
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > > Hi all,
> > > I hope there maybe someone out there who may be able to help me
> > with this
> > > query.
> > > I have a household level data set of roughly 19,000
> households with
> > > the following variables: per capita consumption in rupees (x),
> > > population weights
> > > (w) and household size (hhsize) as in the sample below (I'm sorry
> > > the column heads are not aligned).
> > >
> > > x            w           hhsize
> > > 204.4059           176.45            3
> > > 402.0174           119.22            6
> > > 218.7155           51.84             8
> > > 1083.199           1266.73           6
> > > 303.6877           169.54            3
> > >
> > > The weights represent the number of households in the entire
> > > population that each particular household represents.
> > >
> > > I need to estimate the kernel density of the consumption
> > distribution and
> > > have
> > > consulted Stata's kdensity function as well as the
> akdensity module
> > > developed by Van Kerm. Both permit the use of weights,
> but only of
> > > fweights and aweights. But
> > > while the weights in my data set are frequency weights, they are
> > > certainly not
> > > integers as required by Stata.
> > >
> > > Would someone know how I may get round this problem? I'd
> rather use
> > > the kdensity or akdensity commands and not have to write up a
> > > programme from scratch.
> > >
> > > Thanks so much,
> > > Ramani
> > > *
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> > >
> > >
> > >
> > >
> > >
> > >
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> >
> >
>
>
> *
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>

*
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