> On Nov 24, 2016, at 8:34 AM, CG Pettersson <cg.petters...@lantmannen.com> > wrote: > > Dear all, > I am working with PLS-regression using plsr() from the pls package. I have a > medium sized dataset with 223 rows, ten reference columns and 192 columns > with measurement data from an "electronic nose". > > There is a convenient way of inspecting what you have done in the calls to > plsr() by typing plot(object) which results in a scatterplot > predicted/measured. How do I track what row in the dataset is what point in > the scatterplot? I have tried to read the documentation for plot() but don�t > find the solution, probably because I don�t understand it :(. I am quite sure > it is possible as I have seen something like that in other uses of plot() but > I can�t find where.
Have you looked at matplot? Generally connects along columns. Might need to be: matplot( t(object). type="b") > > Med v�nlig h�lsning/Best regards > CG Pettersson > Senior Scientific Advisor, PhD > ______________________ > Lantm�nnen Corporate R&D > Phone: +46 10 556 19 85 > Mobile: + 46 70 330 66 85 > Email: cg.petters...@lantmannen.com<mailto:cg.petters...@lantmannen.com> > Visiting Address: S:t G�ransgatan 160 A > Address: Box 30192, SE-104 25 Stockholm > Webb: http://www.lantmannen.com<http://www.lantmannen.com/> > Registered Office: Stockholm > Before printing, think about the environment > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. David Winsemius Alameda, CA, USA ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
