Selected subset of all colour palettes
- This is the agreed set of colour palettes to be used for maps and figures
- They are all 1) Colour blind safe, 2) Computer screen safe and 3) printer safe
### Load the package or install if not present
if (!require("RColorBrewer")) {
install.packages("RColorBrewer")
library(RColorBrewer)
}
## Loading required package: RColorBrewer
par(mfrow = c(3,3))
for(col_i in c('YlGn','RdPu', 'PuRd', 'BrBG', 'RdBu', 'RdYlBu', 'Set3', 'Set1')){
display.brewer.pal(n = 5, name = col_i)
}
![](data:image/png;base64,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)
- A machine-readable approach to color specification is as hexadecimal triplets.
- Here is how the RColorBrewer RdYlBu palette is actually stored:
for(col_i in c('YlGn','RdPu', 'PuRd', 'BrBG', 'RdBu', 'RdYlBu', 'Set3', 'Set1')){
print(col_i)
print(brewer.pal(n = 5, name = col_i))
}
## [1] "YlGn"
## [1] "#FFFFCC" "#C2E699" "#78C679" "#31A354" "#006837"
## [1] "RdPu"
## [1] "#FEEBE2" "#FBB4B9" "#F768A1" "#C51B8A" "#7A0177"
## [1] "PuRd"
## [1] "#F1EEF6" "#D7B5D8" "#DF65B0" "#DD1C77" "#980043"
## [1] "BrBG"
## [1] "#A6611A" "#DFC27D" "#F5F5F5" "#80CDC1" "#018571"
## [1] "RdBu"
## [1] "#CA0020" "#F4A582" "#F7F7F7" "#92C5DE" "#0571B0"
## [1] "RdYlBu"
## [1] "#D7191C" "#FDAE61" "#FFFFBF" "#ABD9E9" "#2C7BB6"
## [1] "Set3"
## [1] "#8DD3C7" "#FFFFB3" "#BEBADA" "#FB8072" "#80B1D3"
## [1] "Set1"
## [1] "#E41A1C" "#377EB8" "#4DAF4A" "#984EA3" "#FF7F00"
# or for more levels
brewer.pal(n = 10, name = "RdYlBu")
## [1] "#A50026" "#D73027" "#F46D43" "#FDAE61" "#FEE090" "#E0F3F8" "#ABD9E9"
## [8] "#74ADD1" "#4575B4" "#313695"
The leading # is just there by convention. Parse the hexadecimal string like so: #rrggbb, where rr, gg, and bb refer to color intensity in the red, green, and blue channels, respectively. Each is specified as a two-digit base 16 number, which is the meaning of "hexadecimal" (or "hex" for short). Here's a table relating base 16 numbers to the beloved base 10 system.
All colour palettes
### Show all the colour schemes available
par(cex = .6)
display.brewer.all()
![](data:image/png;base64,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)
### Set the display a 2 by 2 grid
par(mfrow=c(2,2))
### Generate random data matrix
rand.data <- replicate(8,rnorm(100,100,sd=1.5))
### Draw a box plot, with each box coloured by the 'Set3' palette
boxplot(rand.data,col=brewer.pal(8,"Set3"))
### Draw plot of counts coloured by the 'Set3' pallatte
br.range <- seq(min(rand.data),max(rand.data),length.out=10)
results <- sapply(1:ncol(rand.data),function(x) hist(rand.data[,x],plot=F,br=br.range)$counts)
plot(x=br.range,ylim=range(results),type="n",ylab="Counts")
cols <- brewer.pal(8,"Set3")
lapply(1:ncol(results),function(x) lines(results[,x],col=cols[x],lwd=3))
### Draw a bar chart
table.data <- table(round(rand.data))
cols <- colorRampPalette(brewer.pal(8,"Dark2"))(length(table.data))
barplot(table.data,col=cols)
![](data:image/png;base64,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)