1. Work out what you want on the x and y scales from your data. 2. In your first call (to plot) set the xlim and ylim parameters to the required range.
Good luck, Mark On 20/03/2008, Andre Nathan <[EMAIL PROTECTED]> wrote: > Hello > > (Sorry if this appears twice, had some mail problems...) > > I have a number of different data sets, each loaded as a matrix. I'd > like to plot them in a way that the data in the first column of each > matrix is plotted on the same pair of axes. > > What I'm doing now is to call plot() for the data on the first matrix, > then call points() for the other ones. However, the axes are set by R > according to the data passed to plot(), and sometimes the data passed to > points() has larger values on the x axis, and the plot ends up being > "cut" (the y axis is not a problem since they're all probabilities). > > Is there a way to dynamically adapt the axes so that all data can be > seen? I know I could build a new matrix with the columns I want to plot > but each matrix has 1 million rows, so I figure this would be > inefficient. > > Do I have to check beforehand which column has the largest value and > call plot() on it, and then points() on the others, or is there an > automatic way to do this? > > Thanks in advance, > Andre > > ______________________________________________ > 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. > > > ______________________________________________________________________ > This email has been scanned by the MessageLabs Email Security System. > For more information please visit http://www.messagelabs.com/email > ______________________________________________________________________ > -- Dr. Mark Wardle Specialist registrar, Neurology Cardiff, UK ______________________________________________ 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.
