PDF heatmap brightness problem
1
0
Entering edit mode
Alyaa Mahmoud ▴ 440
@alyaa-mahmoud-4670
Last seen 4.7 years ago
Dear all I use heatmap.2 to generate a heatmap, but the generated pdf seems very cloudy !!! I use the following lines of code, can anyone help allocate where the problem is ?? # generate heatmap for matrix bb hc <- hclust(as.dist(1-cor(as.matrix(bb), method="spearman")), method="complete", members=NULL) # Clusters columns by Spearman correlation as distance method. hr <- hclust(as.dist(1-cor(t(as.matrix(bb)), method="spearman")), method="complete", members=NULL) mycl <- cutree(hr, h=max(hr$height)/1.5); mycolhc <- rainbow(length(unique(mycl)), start=0.1, end=0.9); mycolhc <- mycolhc[as.vector(mycl)] # Cuts the tree and creates color vector for clusters. library(gplots); myheatcol <- redgreen(75) pdf("heatmap_dataset1.pdf") heatmap.2(bb, Rowv=as.dendrogram(hr), Colv=as.dendrogram(hc), col=myheatcol, scale="row", density.info="none", trace="none", RowSideColors=mycolhc) dev.off() Thanks a lot yours, Alyaa -- Alyaa Mahmoud "Love all, trust a few, do wrong to none"- Shakespeare [[alternative HTML version deleted]]
• 1.4k views
ADD COMMENT
0
Entering edit mode
wenhuo hu ▴ 200
@wenhuo-hu-5208
Last seen 6.5 years ago
United States
I don't quite get what kind of cloudness Alyaa have. If it is about margin. the parameters margin, lhei might help. Wenhuo On Apr 11, 2012 8:40 AM, "Alyaa Mahmoud" <alyamahmoud@gmail.com> wrote: > Dear all > > I use heatmap.2 to generate a heatmap, but the generated pdf seems very > cloudy !!! I use the following lines of code, > can anyone help allocate where the problem is ?? > > # generate heatmap for matrix bb > hc <- hclust(as.dist(1-cor(as.matrix(bb), method="spearman")), > method="complete", members=NULL) > # Clusters columns by Spearman correlation as distance method. > hr <- hclust(as.dist(1-cor(t(as.matrix(bb)), method="spearman")), > method="complete", members=NULL) > > mycl <- cutree(hr, h=max(hr$height)/1.5); > mycolhc <- rainbow(length(unique(mycl)), start=0.1, end=0.9); > mycolhc <- mycolhc[as.vector(mycl)] # Cuts the tree and creates color > vector for clusters. > > library(gplots); > myheatcol <- redgreen(75) > pdf("heatmap_dataset1.pdf") > heatmap.2(bb, Rowv=as.dendrogram(hr), Colv=as.dendrogram(hc), > col=myheatcol, scale="row", density.info="none", trace="none", > RowSideColors=mycolhc) > dev.off() > > > Thanks a lot > yours, > Alyaa > > -- > Alyaa Mahmoud > > "Love all, trust a few, do wrong to none"- Shakespeare > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor@r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor > [[alternative HTML version deleted]]
ADD COMMENT

Login before adding your answer.

Traffic: 650 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6