Dear Nick, Austin, and Marrten,
Thanks again for your quick advice.
As Nick warned of, "expand" generate
580 000 observations, and a single
execution of "lowess" took 10 minutes.
But I am happy with it as far as it works.
What is the advantage of locpoly
over lowess?
Yoshiro
--- Maarten Buis <[email protected]> からのメッセージ：
> ---- Yoshiro Nagao wrote:
> > I am thinking of using Lowess smoothing
> > for such a dataset in which
> > each data-point corresponds to one community.
>
> > Since different communities differ in
> > population size,
> > they should be weighted, as I suppose,
> > according to their size.
>
> ---- Austin Nichols responded:
> > Depending on what you actually want to do, you
> > may find it helpful to -expand- your data by
> > population size (the equivalent of fweights) and
> > then run -locpoly- (local polynomial regression)
> > on the expanded data.
>
> Yoshiro:
> When I had to do something like that I was unable
> to find how to do that in Stata and I eventually
> did it in R using the locfit package. (My weights
> were inverse variances so I would not know how to
> expand that and use -locpoly- with that)
> HTH,
> Maarten
>
> http://www.r-project.org
> http://www.locfit.info/
>
>
> -----------------------------------------
> Maarten L. Buis
> Department of Social Research Methodology
> Vrije Universiteit Amsterdam
> Boelelaan 1081
> 1081 HV Amsterdam
> The Netherlands
>
> visiting adress:
> Buitenveldertselaan 3 (Metropolitan), room Z214
>
> +31 20 5986715
>
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
>
>
>
>
>
>
> *
> * 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/
>
--------------------------------------
Yahoo! JAPAN 10th Anniversary Special Feature
--- Enjoy Yahoo! Auction with Yahoo! Mail !! ---
http://pr.mail.yahoo.co.jp/auction/
*
* 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/
