I have the following data:
foo_06.ix bar_06.ix bar_06.iz qux_06.ix qux_06.iz
1416474_at Igdcc4 0.563 5.649 1.654 0.776 0.973
1416576_at Socs3 5.793 5.417 0.694 3.256 0.951
...
Which I want to plot the hierarchical clustering heat map.
With this code:
library(gplots);
library(RColorBrewer);
tm <- read.table("http://dpaste.com/1494806/plain/",header=TRUE,sep="\t")
nofclust <- 21;
# Clustering functions
hclustfunc <- function(x) hclust(x, method="complete")
distfunc <- function(x) dist(x,method="euclidean")
d.tm <- distfunc(tm)
fit.tm <- hclustfunc(d.tm)
clusters <- cutree(fit.tm, k=nofclust)
# Define colours
hmcols <- rev(brewer.pal(11,"Spectral"));
selcol <- colorRampPalette(brewer.pal(12,"Set3"))
selcol2 <- colorRampPalette(brewer.pal(9,"Set1"))
sdcol= selcol(5);
clustcol = selcol2(nofclust);
# Plot heatmap
pdf(file="tmp.pdf",width=27,height=27);
heatmap.2(as.matrix(tm),dendrogram="row",scale="row",RowSideColors=clustcol[clusters],ColSideColors=sdcol,col=hmcols,trace="none", margin=c(12,12), hclust=hclustfunc,distfun=distfunc,lwid=c(0.1,0.1,0.1,0.1,0.1),keysize=0.5);
dev.off()
It produces the following figure:

Using the fixed PDF size (27x27) what I want to do:
Create the heatmap where the
row side columnis smaller than all 5 primary columns. Currently it's too wide. These 5 primary column size I fixed withlwid=0.1, so do not change.Squeeze the dendogram.
- If the above two takes effect, the row names on the right takes prominent space in the page.
How can I modify my code above to achieve these?