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POggplot2 shade colors according to column values
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I have the following dataset: <pre><code>cond <- gl(15,1,labels=c("a1","a2","a3","a4","a5","b1","b2","b3","b4","b5","c1","c2","c3","c4","c5")) pos <-c(rep("a",5),rep("b",5),rep("c",5)) mean <- c(3.202634, 3.819009, 3.287785, 4.531127, 3.093865, 3.360535, 4.084791, 3.886960, 3.297692, 4.281323, 2.418745, 3.759699, 3.553860, 4.812989, 1.606597) hd <- c(TRUE, FALSE, TRUE, FALSE, TRUE, TRUE, FALSE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE, FALSE, TRUE) df <- data.frame(cond,pos,mean,hd) </code></pre> ...and generated this plot <pre><code>library(ggplot2) b <- ggplot(df, aes(x=cond, y = mean, fill=pos)) + labs(x = "X", y="Y", fill=NULL) c <- b + geom_bar(stat = "identity", position="dodge") + theme(text = element_text(size=18), axis.text.x = element_text(colour="black", size = 14)) + scale_fill_brewer(palette="Set1") my_theme <- theme_update(panel.grid.major = element_line(colour = "grey90"), panel.grid.minor = element_blank(), panel.background = element_blank(), axis.ticks = element_blank(), legend.position = "none") </code></pre> <img src="https://i.stack.imgur.com/sZ3LA.png" alt="enter image description here"> Now I would like to adjust the colors according to the <code>hd</code> column of the dataframe such that every column of the barplot gets a slightly darker shade of the respective color (e.g. dark red instead of red) if <code>hd=="TRUE"</code>. How can I achieve that? And an additional question: How can I increase the distance between the <code>labs</code> X and Y and the plot/the axes?
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<r><ggplot2>
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ggplot2 shade colors according to column values
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