There are many packages that handles missing values, aka imputations. >From memory Hmisc is one of them. But you can certainly search through CRAN.
On Wed, 16 Jul 2003, Tor A Strand wrote: > Date: Wed, 16 Jul 2003 12:11:32 +0200 > From: Tor A Strand <[EMAIL PROTECTED]> > To: R-list <[EMAIL PROTECTED]> > Subject: [R] how to handle missing values > > This group impresses me, so far I have been helped with all my questions > within 24 hours. Thanks. > > Therefore another one. > > I am used to programs (such as STATA) where observations with missing values > that are included in a model are simply ignored in the analysis. So far I > have not been able to figure out how to deal with missing values in R and > have solved the problem by deleting observations with missing values before > loading them into R. > > Can anyone give me a hint on how to do this in a simpler way? > > -- Cheers, Kevin ------------------------------------------------------------------------------ "On two occasions, I have been asked [by members of Parliament], 'Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?' I am not able to rightly apprehend the kind of confusion of ideas that could provoke such a question." -- Charles Babbage (1791-1871) ---- From Computer Stupidities: http://rinkworks.com/stupid/ -- Ko-Kang Kevin Wang Master of Science (MSc) Student SLC Tutor and Lab Demonstrator Department of Statistics University of Auckland New Zealand Homepage: http://www.stat.auckland.ac.nz/~kwan022 Ph: 373-7599 x88475 (City) x88480 (Tamaki) ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help