r - How to produced group barplot with different color codes? -

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i trying make grouped barplots below formatted data. wrote below code not serving purpose

data

data1 <- read.table(text="              nas  ag   pt      st 1kb_+/-tss   1239 885   1232    952 1.5kb_+/-tss 1440 1092  1467    1181 2kb_+/-tss   1647 1248  1635    1398 2.5kb_+/-tss 1839 1403  1794    1594", header=true)

code

data2=as.matrix(data1) b<-barplot(data2, legend= rownames(data2), beside= true,las=2,cex.axis=0.7,cex.names=0.7,ylim=c(0,3000), col=c("cornflowerblue","cornsilk4","red","orange")) tx2 <- data2 text(b,tx2+10, as.character(tx2),pos = 3, cex = 0.5, col = "darkgreen")

below image enter image description here

i not want have color combination want color each group nas(shades of blue each rows),ag(shades of cornsilk4, pt(shades of read), st(shades of orange)

how shall modify code? each category has lighter shades of 4 colours used in main code

if want different shades each of colors, have create colors selves. here's 1 such function can calculate lighter colors

fadecolors <- function(colors, steps=4) {     rr <- col2rgb(colors)     unlist(map(function(a) {         rgb( seq(255, a[1],length.out=steps+1)[-1],         seq(255,a[2],length.out=steps+1)[-1],         seq(255,a[3],length.out=steps+1)[-1],            maxcolorvalue=255)     }, as.data.frame(rr))) }  colors <- c("cornflowerblue","cornsilk4","red","orange") barplot(data2, legend= rownames(data2), beside= true,las=2,cex.axis=0.7,cex.names=0.7,ylim=c(0,3000), col=fadecolors(colors))

this results in

enter image description here

basically idea add amount of white (in rgb scale) each color. there more sophisticated ways choose colors out there.


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