Why not use the interactive histogram in iplots? ihist(x) Then you can vary the binwidth interactively and get a very quick idea of the structure of your data by looking at a range of plots with different binwidths. Relying on a single plot to reveal everything about a variable's distribution is not a good idea.
A couple of people suggested estimating the density. That may miss roundings, discretisation or other odd structures. We should never underestimate what Peter Huber called "the rawness of raw data". Antony Unwin Professor of Computer-Oriented Statistics and Data Analysis, Mathematics Institute, University of Augsburg, Germany [[alternative HTML version deleted]] ______________________________________________ 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.