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 ) ) 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 ______________________________________________ [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
