Dear R users, I am a newbie. Just switched from MATLAB. So thanks a lot for your patience.
I have 50000 spectra collected in field. Each spectra has two columns : Wavelength (56) and the actual measurement. Each measurement came in a different .txt file on disk (50000 files in total). I wrote a script that reads every spectra in a for loop and constructs two variables : Wavelength (56) and Reflectance (56x50000). I would like to plot Reflectance vs Wavelength i.e. overlay 50000 spectra one one top of the other. plot(Wavelength, Reflectance) does not work (Matlab would do it): Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ I then tried to construct the two matrices so that they have the same size (56x50000) and plot it all at once with the command "plot". This works but it is such a computationally inefficient way that I do not want to do this Why redundantly store wavelength data? Later I will have to process much more spectra so this is not a good practice for me. I then decided to draw the first spectra on the first run of the for loop with the command "plot" and add the subsequent graphs with the command "lines". This works but the y-axes limits do not adjust automatically, leaving many spectra out of the axis limits ;( I don't want to set the axis limits by hand as I need this script to be completely autonomous. I don't want to program lines of code to calculate those limits myself either.... I am sure the mighty R can do it... BUT HOW???? (Matlab would easily do it with a single command) What I need is a command that will redraw the graph by automatically adjusting the axis limits. I have been searching for many days on the web, forums and mailing list archives but I still don't know how to do it. Please help thanks a lot from advance for your kindly help Servet ______________________________________________ R-help@r-project.org 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.