customerized hclustfun or distfun in heatmap

for( mymethod in mymethods ) {
 hd =  hclust( dist(ctb2), mymethod); 
 # plot( hd, main="hamming distance, ward linkage" )
 coat.cat = cutree(hd, numclus )  ###<=== change is here
 col.palette = c("red","brown","blue","green");
 coat.color = col.palette[coat.cat]

 library(RColorBrewer);
 #hmcol = colorRampPalette(brewer.pal(10,"RdBu"))(256);
 hmcol = colorRampPalette(brewer.pal(5,"RdBu"))(16);

 #heatmap( ctb2, col=hmcol, scale="none", margins = c(5,10) );
 heatmap( ctb2, col=hmcol, scale="none", margins = c(5,10), 
 RowSideColors=coat.color, ColSideColors = spec.colors,
 hclustfun = function(c) hclust( c, method=mymethod),

 distfun = function(c) as.dist(hamming.distance(c)) #Hamming is less pleasant than Euclidean 

 main = mymethod
 );
}