R 2.3.1, W2k.
I am working with a field trial series where, for the moment, I do
regressions using more than one covariate to explain the protein levels
in malting barley.
To do this I use lme() and a mixed call, structured by both experiment
(trial) and repetition in each experiment (block). Everything works
fine, resulting in nice working linear models using two covariates. But
how do I visualize this in an efficient and clear way?
What I want is something like the standard output from all multivariate
tools I have worked with (Observed vs. Predicted) with the least square
line in the middle. It is naturally possible to plot each covariate
separate, and also to use the 3d- sqatterplot in Rcmdr to plot both at
the same time, but I want a plain 2d plot.
Who has made a plotting method for this and where do I find it?
Or am I missing something obvious here, that this plot is easy to
achieve without any ready made methods?
Cheers
Dear all.
/CG
--
CG Pettersson, MSci, PhD Stud.
Swedish University of Agricultural Sciences (SLU)
Dept. of Crop Production Ecology. Box 7043.
SE-750 07 UPPSALA, Sweden.
+46 18 671428, +46 70 3306685
cg.pettersson@vpe.slu.se
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Received on Thu Sep 07 19:42:18 2006
Archive maintained by Robert King, hosted by
the discipline of
statistics at the
University of Newcastle,
Australia.
Archive generated by hypermail 2.1.8, at Thu 07 Sep 2006 - 11:42:57 GMT.
Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.