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Date:         Fri, 9 Oct 2009 10:56:57 -0700
Reply-To:     Dale McLerran <stringplayer_2@YAHOO.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Dale McLerran <stringplayer_2@YAHOO.COM>
Subject:      Re: Proc Loess
In-Reply-To:  <1ca751e30910090910s70f24c5fq5d2d3a9a18818d33@mail.gmail.com>
Content-Type: text/plain; charset=us-ascii

Sudip,

If the response should range from 0 to 100 (is this a percentage?), then you might employ a logit transformation of the response before you pass it through the Loess smoother. Reconstruct the response as

Y_loess = ln( y / (100-y) );

If you have some observations with values of 0 or 100, then you might have to modify the transformation slightly to be something like:

Y_loess = ln( y+0.5 / (100.5-y) );

Now, the response can range over (-inf,inf). Instead of using Y as the response variable in PROC LOESS, use Y_loess as the response. You could then backtransform your smoother to return values on the range from 0 to 100. This would be

Y_hat = 100 * exp(Y_sm) / (1 + exp(Y_sm))

or, if you have 0 or 100 values,

Y_hat = (100.5*exp(Y_sm) - 0.5) / (1 + exp(Y_sm))

where Y_sm is the smoothed value of the response returned by PROC LOESS.

Dale

--------------------------------------- Dale McLerran Fred Hutchinson Cancer Research Center mailto: dmclerra@NO_SPAMfhcrc.org Ph: (206) 667-2926 Fax: (206) 667-5977 ---------------------------------------

--- On Fri, 10/9/09, sudip chatterjee <sudip.memphis@GMAIL.COM> wrote:

> From: sudip chatterjee <sudip.memphis@GMAIL.COM> > Subject: Proc Loess > To: SAS-L@LISTSERV.UGA.EDU > Date: Friday, October 9, 2009, 9:10 AM > Dear Users, > > When I do smoothing in my dataset through proc loess I see > there are > some negative numbers which make no sense in the data. This > happens > whenever the original data is near zero, so I was wondering > if there > is any option where I can set up the scale such that after > smoothing I > dont get a value of less than 0 & more than 100 ? > > Thank you all for your time. > > regards >


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