I'm trying to generate some plots of log-transformed fold-change data using heatmap.2 (code below).
I'd like to order the rows in the heatmap by the values in the last column (largest to smallest). The rows are being ordered automatically (I'm unsure the precise calculation used 'under the hood') and as shown in the image, there is some clustering being performed.
sample_data
gid 2hrs 4hrs 6hrs 8hrs
1234 0.5 0.75 0.9 2
2234 0 0 1.5 2
3234 -0.5 0.1 1 3
4234 -0.2 -0.2 0.4 2
5234 -0.5 1.2 1 -0.5
6234 -0.5 1.3 2 -0.3
7234 1 1.2 0.5 2
8234 -1.3 -0.2 2 1.2
9234 0.2 0.2 0.2 1
0123 0.2 0.2 3 0.5
code
data <- read.csv(infile, sep='\t',comment.char="#")
rnames <- data[,1] # assign labels in column 1 to "rnames"
mat_data <- data.matrix(data[,2:ncol(data)]) # transform columns into a matrix
rownames(mat_data) <- rnames # assign row names
# custom palette
my_palette <- colorRampPalette(c("turquoise", "yellow", "red"))(n = 299)
# (optional) defines the color breaks manually for a "skewed" color transition
col_breaks = c(seq(-4,-1,length=100), # for red
seq(-1,1,length=100), # for yellow
seq(1,4,length=100)) # for green
# plot data
heatmap.2(mat_data,
density.info="none", # turns off density plot inside color legend
trace="none", # turns off trace lines inside the heat map
margins =c(12,9), # widens margins around plot
col=my_palette, # use on color palette defined earlier
breaks=col_breaks, # enable color transition at specified limits
dendrogram='none', # only draw a row dendrogram
Colv=FALSE) # turn off column clustering
Plot
I'm wondering if anyone can suggest either how to turn off reordering so I can reorder my matrix by the last column and force this order to be used, or alternatively hack the heatmap.2 function to do this.
You are not specifying Rowv=FALSE
and by default the rows are reordered (in heatmap.2
help, for parameter Rowv
:
determines if and how the row dendrogram should be reordered. By default, it is TRUE, which implies dendrogram is computed and reordered based on row means. If NULL or FALSE, then no dendrogram is computed and no reordering is done.
So if you want to have the rows ordered according to the last columns, you can do :
mat_data<-mat_data[order(mat_data[,ncol(mat_data)],decreasing=T),]
and then
heatmap.2(mat_data,
density.info="none",
trace="none",
margins =c(12,9),
col=my_palette,
breaks=col_breaks,
dendrogram='none',
Rowv=FALSE,
Colv=FALSE)
You will get the following image :
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