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Article #264[S] making predict.discrim predict for NA's
From: Stafford Phillip-APS095
Date: Fri, 03 Aug 2001 22:13
Date: Fri, 03 Aug 2001 22:13
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1869 bytes
Is there a way to make predict.discrim() predict groups when there is a missing categorical variable in the test dataset? (note: the only missing values are the dependant categorical variables, the independent continous variables are there and I want to predict group membership based on those values). Thank you for any help, I can only get predicted values for datapoints that have both dependent and independent variable present. Sincerely; Phillip Stafford Motorola Life Sciences --------------------------------------------------------------------- This message was distributed by s-news@lists.biostat.wustl.edu. To unsubscribe send e-mail to s-news-request@lists.biostat.wustl.edu with the BODY of the message: unsubscribe s-news ---
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: fa931,77e367913f7607c9,start X-Google-Attributes: gidfa931,public X-Google-ArrivalTime: 2001-08-03 15:24:24 PST Newsgroups: aus.stats.s Path: arc1-ca.pugleaf.net!archiver1.google.com!newsfeed.google.com!sn-xit-02!supernews.com!news.tele.dk!209.98.98.64!news-out.visi.com!hermes.visi.com!news1.optus.net.au!optus!news.usyd.edu.au!news.nsw.CSIRO.AU!cmis.csiro.au!owner-s-news From: phillip.stafford@motorola.com (Stafford Phillip-APS095) Subject: [S] making predict.discrim predict for NA's X-Nntp-Posting-Host: snowy.nsw.cmis.csiro.au Content-Type: text/plain; charset="iso-8859-1" Message-ID: <07077F6C2A38D511920800D0B7821B3201E38520@il06exm01.corp.mot.com> Sender: majordomo@mailhost.nsw.cmis.CSIRO.AU Organization: CSIRO Australia X-To: s-news@lists.biostat.wustl.edu Mime-Version: 1.0 Date: Fri, 3 Aug 2001 22:13:01 GMT X-Mailer: Internet Mail Service (5.5.2654.52) Content-Length: 743 X-Precedence: bulk X-Received: by il06exi01.corp.mot.com with Internet Mail Service (5.5.2654.52) id <P9F00H81>; Fri, 3 Aug 2001 17:05:19 -0500 Lines: 15