Re: [R] Error: evaluation nested too deeply when doing heatmap with binary distfunction
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.
Re: [R] Error: evaluation nested too deeply when doing heatmap with binary distfunction
Sorry, that was a typo. Actually there wasn't a comma after 'function(m)' in my expression. So I'll try to increase the threshould to see if that works. Thanks a lot! From: jim holtman [EMAIL PROTECTED] To: zhihua li [EMAIL PROTECTED] Subject: Re: [R] Error: evaluation nested too deeply when doing heatmap with binary distfunction Date: Thu, 19 Jul 2007 00:19:54 -0400 you seem to have a syntax error in your statement. There appears to be an extra commas after 'function(m),'. I think is should be: heatmap(X, distfun=function(c)dist(c,method=bin),hclustfun=function(m)hclust(m,method=average)) On 7/18/07, zhihua li [EMAIL PROTECTED] 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=)? 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. -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? __ 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.
Re: [R] Error: evaluation nested too deeply when doing heatmap with binary distfunction
Yes. After I increase the threshould to 1 it got through. Thanks a lot! From: Uwe Ligges [EMAIL PROTECTED] To: zhihua li [EMAIL PROTECTED] CC: r-help@stat.math.ethz.ch Subject: Re: [R] Error: evaluation nested too deeply when doing heatmap with binary distfunction Date: Thu, 19 Jul 2007 15:18:29 +0200 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. _ 享用世界上最大的电子邮件系统― MSN Hotmail。 http://www.hotmail.com __ 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.
