FWIW: I use lattice exclusively. One difference from the mfrow approach is that lattice automatically provides (if desired) the same scaling on all plots, necessary to make visual comparisons. It also provides an easy way to appropriately label and and arrange the plots, as well as to provide standard enhancements (e.g. a benchmark curve or line on all graphs) on all. Again, this makes visual comparison among the plots possible, which is what I mostly have to do. Customizable panel functions give me all the flexibility and control I need. Generally, it's not hard to write your own, using the extensive building blocks Deepayan has provided.
All of this is possible through mfrow of course --- you just have to do it manually. Lattice makes it easy (for me!). Note: there **is** a considerable learning curve, but Deepayan has done an exemplary job of documenting lattice, and his new book is a well-written and extensive resource for self-learning (all IMHO, of course). Just my $.02. Cheers, Bert Gunter Genentech Nonclinical Statistics -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of stephen sefick Sent: Tuesday, June 10, 2008 10:10 AM To: r-help@r-project.org Subject: [R] par(mfrow=c(4,2)) vs. lattice I have had good sucess with the par(mfrow=c(#,#)) for formating graphs and they look good to me. I have seen a lot of use of the lattice package and thought I would go fishing on the list for y'all's comments. Is there a time when lattice would be easier more appropriate for certain graphics over par(mfrow(#,#)). Just wondering Stephen -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis [[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. ______________________________________________ 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.
