I obtain a matrix from calculation where the values are between 0 and 4. I use the function heatmap.2
to plot.
The idea is to have a color code and with different gradient in function of the cell value:
from 0 to 0.99: gradient of red
from 1 to 1.99: gradient of yellow
from 2 to 2.99: gradient of green
from 3 to 4: gradient of grey
As you can see, the gradients are not independent, the colors smoothly change from a range to another (by example, I got orange from red to yellow). How to obtain 4 different and independent gradient? Mean, from 0 to 0.99 only red gradient and from 1 to 1.99 only yellow gradient etc
Here the code I used (I create a random matrix for the example):
library(gplots)
# create a matrix of random values from [0, 4]
random.matrix <- matrix(runif(100, min = 0, max = 4), nrow = 10)
quantile.range <- quantile(random.matrix, probs = seq(0, 1))
palette.breaks <- seq(quantile.range["0%"], quantile.range["100%"], 0.25)
color.palette <- colorRampPalette(c("red", "yellow", "green", "grey"))(length(palette.breaks)-1)
heatmap.2(
random.matrix,
dendrogram = "none",
scale = "none",
trace = "none",
symbreaks=FALSE,
symkey=FALSE,
key = TRUE,
key.title = 'class information',
key.xlab = 'class number',
keysize = 2,
#( "bottom.margin", "left.margin", "top.margin", "right.margin" )
key.par=list(mar=c(3,3.5,2,0)),
labRow = NA,
labCol = NA,
col = color.palette,
breaks = palette.breaks,
)
legend(x="topright", legend=c("class 1: city", "class 2: crops", "class 3: forest", "class 4: road"),fill=c("red", "yellow", "green", "grey", ""))
Here the plot:
I found this way:
# gplots contains the heatmap.2 function
library(gplots)
# create a matrix of random values from [0, 4]
random.matrix <- matrix(runif(100, min = 0, max = 4), nrow = 10)
quantile.range <- quantile(random.matrix, probs = seq(0, 1))
palette.breaks <- seq(quantile.range["0%"], quantile.range["100%"], 0.25)
colfunc1 <- colorRampPalette(c("white", "red"))
colfunc2 <- colorRampPalette(c("white", "yellow"))
colfunc3 <- colorRampPalette(c("white", "green"))
colfunc4 <- colorRampPalette(c("grey", "black"))
color.palette <- colorRampPalette(c(colfunc1(4), colfunc2(4), colfunc3(4), colfunc4(3)))(length(palette.breaks)-1)
heatmap.2(
random.matrix,
dendrogram = "none",
scale = "none",
trace = "none",
symbreaks=FALSE,
symkey=FALSE,
key = TRUE,
key.title = 'class information',
key.xlab = 'class number',
keysize = 2,
#( "bottom.margin", "left.margin", "top.margin", "right.margin" )
key.par=list(mar=c(3,3.5,2,0)),
labRow = NA,
labCol = NA,
col = color.palette,
breaks = palette.breaks,
)
legend(x="topright", legend=c("class 1: city", "class 2: crops", "class 3: forest", "class 4: road"),fill=c("red", "yellow", "green", "grey", ""))