Hello 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.
