zhihua li wrote: > Hi netters, > > I have a matrix X of the size (1000,100). The values are from -3 to +3. > When I tried > > heatmap(X, > distfun=function(c),dist(c,method="bin"),hclustfun=function(m),hclust(m,method="average")) > > > > > I got the error message: Error: evaluation nested too deeply: infinite > recursion / options(expressions=)?
So, does it help to increase the thresholds? If not, please specify a easily reproducible example that helps us to investigate your problem. Best, Uwe Ligges > However, if I used default parameters for distfunction: > heatmap(X, hclustfun=function(m),hclust(m,method="average")) > there is no error messages at all. > > But the problem is that I have to use binary method in my disfunction. > How can I resolve the problem? > > Thanks a lot! > > > ------------------------------------------------------------------------ > > ______________________________________________ > R-help@stat.math.ethz.ch 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@stat.math.ethz.ch 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.