Hi all,
I am a novice user of the heatmap.2 function in the Bioconductor gplots package.
I am trying to create a heatmap diagram from a hierarchical clustering result
based on the complete linkage and the pearson correlations as the distance
metrics.
After reading the help page for heatmap.2, it seems that it calls the distfun
and hclustfun with the default settings. Is that the same as doing the
below?> hr<-hclust(as.dist(1-cor(t(data), method="pearson")),
method="complete)
> hc<-hclust(as.dist(1-cor(data, method="pearson")),
method="complete)
> heatmap.2(data, Rowv=as.dendrogram(hr), Colv=as.dendrogram(hc),
scale="row")
When I just do the following, I get a completely different
heatmap:> heatmap.2(data, scale="row")
Could you please tell me how calling the heatmap.2 without specifying the Rowv
and Colv results in different heatmaps? The help page says that when Rowv and
Colv are null, it calls hclust and dist with default parameters, which is what I
had done in the first case.
Thank you so much for your help.
regards,
Elizabeth
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