I followed the advice I gleaned from reading previous postings and attempted to install binary packages of both graphviz and Rgraphviz as described in this post: https://stat.ethz.ch/pipermail/bioconductor/2007-January/015621.html I am running: PowerPC OSX 10.4.8 R Version 2.2.1 (2005-12-20 r36812) Bioconductor Biobase Version 1.8.0 I installed: Graphviz 2.8 binary obtained from http://r.research.att.com/ This installed: dot,neato,more in /usr/local/bin various files in /usr/local/lib/graphviz libagraph.pc,libcdt.pc,more in /usr/local/lib/pkgconfig I tested the "dot" command on the command line - it worked - made a nice graph. Rgraphviz 1.8.1 binary obtained by R> source("http://www.bioconductor.org/getBioC.R") R> getBioC("Rgraphviz") This installed Rgraphviz 1.8.0 Error when I load the library: R> library("Rgraphviz") Loading required package: graph Loading required package: cluster Loading required package: Ruuid Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library '/Library/Frameworks/ R.framework/Resources/library/Rgraphviz/libs/Rgraphviz.so': dlopen(/Library/Frameworks/R.framework/Resources/library/Rgraphviz/ libs/Rgraphviz.so, 6): Symbol not found: _agedgeattr Referenced from: /Library/Frameworks/R.framework/Resources/library/ Rgraphviz/libs/Rgraphviz.so Expected in: flat namespace Error: .onLoad failed in 'loadNamespace' for 'Rgraphviz' Error: package/namespace load failed for 'Rgraphviz' I searched the web to find a solution to the problem: Symbol not found: _agedgeattr. This didn't turn up much. I have also tried compiling Rgraphviz without success probably due to an inadequate understanding of the --configure-args='--with-graphviz= parameters. I prefer not to compile anything if I can avoid it - already spent many days attempting this. Can someone provide me with a binary Rgraphviz.tgz that will work with graphviz 2.8? Or provide any advice? Thanks in advance. - Bobby

Hi Bobby, Bobby Prill <rprill at="" jhu.edu=""> writes: > R Version 2.2.1 (2005-12-20 r36812) You need to upgrade to a more recent version of R (yours is quite old in R-years). Once you have upgraded to R-2.4.1, you should be able to install Rgraphviz: source("http://bioconductor.org/biocLite.R") biocLite("Rgraphviz") + seth