[R] par(mfrow=c(4,2)) vs. lattice

Bert Gunter gunter.berton at gene.com
Tue Jun 10 19:26:11 CEST 2008


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.


Bert Gunter
Genentech Nonclinical Statistics 

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of stephen sefick
Sent: Tuesday, June 10, 2008 10:10 AM
To: r-help at 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
Just wondering


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 at r-project.org mailing list
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

More information about the R-help mailing list