问题
Using R package pheatmap to draw heatmaps. Is there a way to assign a color to NAs in the input matrix? It seems NA gets colored in white by default. E.g.:
library(pheatmap)
m<- matrix(c(1:100), nrow= 10)
m[1,1]<- NA
m[10,10]<- NA
pheatmap(m, cluster_rows=FALSE, cluster_cols=FALSE)
Thanks
回答1:
It is possible, but requires some hacking.
First of all let's see how pheatmap
draws a heatmap. You can check that just by typing pheatmap
in the console and scrolling through the output, or alternatively using edit(pheatmap)
.
You will find that colours are mapped using
mat = scale_colours(mat, col = color, breaks = breaks)
The scale_colours
function seems to be an internal function of the pheatmap
package, but we can check the source code using
getAnywhere(scale_colours)
Which gives
function (mat, col = rainbow(10), breaks = NA)
{
mat = as.matrix(mat)
return(matrix(scale_vec_colours(as.vector(mat), col = col,
breaks = breaks), nrow(mat), ncol(mat), dimnames = list(rownames(mat),
colnames(mat))))
}
Now we need to check scale_vec_colours
, that turns out to be:
function (x, col = rainbow(10), breaks = NA)
{
return(col[as.numeric(cut(x, breaks = breaks, include.lowest = T))])
}
So, essentially, pheatmap
is using cut
to decide which colours to use.
Let's try and see what cut
does if there are NAs around:
as.numeric(cut(c(1:100, NA, NA), seq(0, 100, 10)))
[1] 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3
[29] 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6
[57] 6 6 6 6 7 7 7 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 8 8 9 9 9 9
[85] 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 NA NA
It returns NA! So, here's your issue!
Now, how do we get around it?
The easiest thing is to let pheatmap
draw the heatmap, then overplot the NA values as we like.
Looking again at the pheatmap
function you'll see it uses the grid
package for plotting (see also this question: R - How do I add lines and text to pheatmap?)
So you can use grid.rect
to add rectangles to the NA positions.
What I would do is find the coordinates of the heatmap border by trial and error, then work from there to plot the rectangles.
For instance:
library(pheatmap)
m<- matrix(c(1:100), nrow= 10)
m[1,1]<- NA
m[10,10]<- NA
hmap <- pheatmap(m, cluster_rows=FALSE, cluster_cols=FALSE)
# These values were found by trial and error
# They WILL be different on your system and will vary when you change
# the size of the output, you may want to take that into account.
min.x <- 0.005
min.y <- 0.01
max.x <- 0.968
max.y <- 0.990
width <- 0.095
height <- 0.095
coord.x <- seq(min.x, max.x-width, length.out=ncol(m))
coord.y <- seq(max.y-height, min.y, length.out=nrow(m))
for (x in seq_along(coord.x))
{
for (y in seq_along(coord.y))
{
if (is.na(m[x,y]))
grid.rect(coord.x[x], coord.y[y], just=c("left", "bottom"),
width, height, gp = gpar(fill = "green"))
}
}
A better solution would be to hack the code of pheatmap
using the edit
function and have it deal with NAs as you wish...
回答2:
You can enable assigning a colour by using the developer version of pheatmap from github. You can do this using devtools:
#this part loads the dev pheatmap package from github
if (!require("devtools")) {
install.packages("devtools", dependencies = TRUE)
library(devtools)
}
install_github("raivokolde/pheatmap")
Now you can use the parameter "na_col" in the pheatmap function:
pheatmap(..., na_col = "grey", ...)
(edit) Don't forget to load it afterwards. Once it is installed, you can treat it as any other installed package.
回答3:
If you don't mind using heatmap.2
from gplots
instead, there's a convenient na.color
argument. Taking the example data m
from above:
library(gplots)
heatmap.2(m, Rowv = F, Colv = F, trace = "none", na.color = "Green")
回答4:
If you want the NAs to be grey, you can simply force the "NA" as double.
m[is.na(m)] <- as.double("NA")
pheatmap(m, cluster_rows=F, cluster_cols=F)
来源:https://stackoverflow.com/questions/25929991/pheatmap-color-for-na