[R] plotting predicted values (lines) over data?
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
RE: [R] plotting predicted values (lines) over data?
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
--
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Re: [R] plotting predicted values (lines) over data?
Dear Jeff, I'm not sure that I follow entirely what you've done, but perhaps the following suggestions will help: (1) If the plotted curve isn't smooth because it's evaluated at too few x-values or at x-values that are too unevenly spaced, what about getting a sufficient number of predicted values [via predict()] that are evenly spaced along the range of ht -- i.e., not at the observations? (2) Rather than connecting the fitted values with line segments, you could use spline() to interpolate. I hope that this helps, John At 11:23 AM 1/15/2004 -0800, Jeff D. Hamann wrote: 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. - John Fox Department of Sociology McMaster University Hamilton, Ontario, Canada L8S 4M4 email: [EMAIL PROTECTED] phone: 905-525-9140x23604 web: www.socsci.mcmaster.ca/jfox __ [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
