Error: evaluation nested too deeply when doing heatmap with binary distfunction

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!


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From: Uwe Ligges <ligges at statistik.uni-dortmund.de>
To: zhihua li <lzhtom at hotmail.com>
CC: r-help at stat.math.ethz.ch
Subject: Re: [R] Error: evaluation nested too deeply when doing heatmap 

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!


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