> From: Jeff D. Hamann > > I've been trying to plot the predicted values, as a line, > over the data for > a simple nonlinear fit with the following commands: > > plot( hg ~ ht ) > ... define some function hg ~ ht + junk ... > ... blah, blah, obtain parameter estimates and predicted > values, blah... > ... then... > lines( sort( $predicted ) ~ sort( ht ) )
This doesn't look right to me. Don't you want something like: ord <- order(ht) lines(ht[ord], fit$predicted[ord], ...) ??? Andy > which results in a line that isn't smooth (which I knew would > happen). I've > checked the FAQ,docs and archives and I'm not sure if there's > function that > will so what Heut et. al (2004) do with their plfit(). So, is > there already > an R function, or process to do this, or will I have to write one? > > Thanks, > Jeff. > > --- > Jeff D. Hamann > Forest Informatics, Inc. > PO Box 1421 > Corvallis, Oregon USA 97339-1421 > (office) 541-754-1428 > (cell) 541-740-5988 > [EMAIL PROTECTED] > www.forestinformatics.com > ------------------------------------------------------------------------------ Notice: This e-mail message, together with any attachments,...{{dropped}} ______________________________________________ [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