Dear all. 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 /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 [EMAIL PROTECTED] ______________________________________________ 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.
