Thanks. I was able to use na.omit to remove NAs. But it seems to me this kills one of the advantages of the original algorithm for handling missing values.
On Tue, 2004-04-06 at 11:54, Uwe Ligges wrote: > zhu wang wrote: > > > > Dear helpers, > > > > I am trying to use the mda package downloaded from the R website, but > > the data set has missing values so I got an error message. Should I > > manually handle these missing values? I was trying to read the documents > > to specify any option related to missing values, but I did not find it. > > Please forgive me if I ignore something obvious. > > If it is not documented (hence probably not available) and you don't > know how to tell the functions to handle missing values, try to do it > "yourself". ?NA suggests: > "See Also: [...] 'na.action', 'na.omit', 'na.fail' on how methods can be > tuned to deal with missing values." > > Uwe Ligges > > > > > Thanks, > > > > Zhu Wang > > > > Statistical Science Department > > Southern Methodist University > > Dallas, TX 75275-0332 > > Phone: (214)768-2453 > > Fax: (214)768-4035 > > Email: [EMAIL PROTECTED] > > > > ______________________________________________ > > [EMAIL PROTECTED] mailing list > > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Zhu Wang Statistical Science Department Southern Methodist University Dallas, TX 75275-0332 Phone: (214)768-2453 Fax: (214)768-4035 Email: [EMAIL PROTECTED] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html