10

Hi everybody I am making a graphic in ggplot2 but I wish to add different colour to it. One way is to use palette from RColorBrewer package. I used a palette from this package but I got this. The code that I used is the next:

library(ggplot2)
library(reshape2)
library(scales)
library(RColorBrewer)
#Graphic
png(filename = "Atotal.png", width = 1050, height = 900)
Atotal=ggplot(Melt.Atotal, aes(x = Var2, y = value, fill = Mes)) +
  geom_bar(stat = "identity") + scale_y_continuous(labels = comma) + scale_fill_brewer(palette="Set3") +
  annotate("text", x = ncol(AtotalM) - 1.3, y = finalValA1 + 4000000, 
           label = finalValA1f, size = 5) + theme(axis.text.x=element_text(angle=90,colour="grey20",face="bold"),axis.text.y=element_text(colour="grey20",face="bold",hjust=1,vjust=0.8),axis.title.x=element_text(colour="grey20",face="bold"),axis.title.y=element_text(colour="grey20",face="bold"))+xlab('Mes')+ylab('Total')+ ggtitle("Consumo Automotriz (A)")+theme(plot.title = element_text(lineheight=3, face="bold", color="black",family="F",size=24))
print(Atotal)
dev.off()

The result of using scale_fill_brewer(palette="Set3") inside this code is the next:

enter image description here

Where not all values of Mes are being considered. My data is Melt.Atotal and it has 3 variables Mes, Var2 and Value. The code to build Melt.Atotal is the next (I add dput() version of my basic matrix):

Melt.Atotal <- melt(AtotalMt)
Melt.Atotal<-transform(Melt.Atotal, Var1 = factor(Var1, colnames(AtotalMt)),
                       Var2 = factor(Var2, rownames(AtotalMt)))
names(Melt.Atotal)[1] <- "Mes"

The dput() version of AtotalMt is the next:

structure(c(26854799.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
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2106946.21, 2366282.4, 2048390.08, 2320985.47, 2933079.27, 2923955.09, 
2496980.3, 2786647.48, 2380798.87, 2479884.64, 2674568.38), .Dim = c(40L, 
40L), .Dimnames = list(c("jul 10", "ago 10", "sep 10", "oct 10", 
"nov 10", "dic 10", "ene 11", "feb 11", "mar 11", "abr 11", "may 11", 
"jun 11", "jul 11", "ago 11", "sep 11", "oct 11", "nov 11", "dic 11", 
"ene 12", "feb 12", "mar 12", "abr 12", "may 12", "jun 12", "jul 12", 
"ago 12", "sep 12", "oct 12", "nov 12", "dic 12", "ene 13", "feb 13", 
"mar 13", "abr 13", "may 13", "jun 13", "jul 13", "ago 13", "sep 13", 
"oct 13"), c("jul 10", "ago 10", "sep 10", "oct 10", "nov 10", 
"dic 10", "ene 11", "feb 11", "mar 11", "abr 11", "may 11", "jun 11", 
"jul 11", "ago 11", "sep 11", "oct 11", "nov 11", "dic 11", "ene 12", 
"feb 12", "mar 12", "abr 12", "may 12", "jun 12", "jul 12", "ago 12", 
"sep 12", "oct 12", "nov 12", "dic 12", "ene 13", "feb 13", "mar 13", 
"abr 13", "may 13", "jun 13", "jul 13", "ago 13", "sep 13", "oct 13"
)))

Thanks for your help.

Duck
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1 Answers1

16

Set3 has 12 distinct colors (see ?RColorBrewer). If you want more, you need to interpolate:

library(grid) # for unit()
cols <- colorRampPalette(brewer.pal(12, "Set3"))
myPal <- cols(length(unique(Melt.Atotal$Mes)))
Atotal <- ggplot(Melt.Atotal, aes(x = Var2, y = value, fill = Mes)) +
  geom_bar(stat = "identity") + 
  scale_fill_manual(values = myPal) +
  theme(axis.text.x=element_text(angle=90), 
        legend.text=element_text(size=8),
        legend.key.height=unit(.1, "cm"))
Atotal

enter image description here

lukeA
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  • Thanks @lukeA that is I was looking for only a little question do you know if I can use a palette only with primary colours in ggplot2! – Duck Jan 05 '14 at 20:58
  • I guess there is no palette with that many distinct colors. Maybe this one helps: http://stackoverflow.com/questions/9563711/r-color-palettes-for-many-data-classes – lukeA Jan 05 '14 at 21:02
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    Or did you just mean a more RGB'ish palette like `myPal <- rainbow(length(unique(Melt.Atotal$Mes)))`? – lukeA Jan 05 '14 at 21:08
  • In `scale_fill_gradient2` you can set `low`, `mid` and `high`, using RGB colour space. – Henrik Jan 05 '14 at 21:08
  • Dear @Henrik where can I find an example of `scale_fill_gradient2` to adapt to my graph I am very new with this topic. – Duck Jan 05 '14 at 21:14
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    As ususal in R, you can just type `?scale_fill_gradient2`. However, you find help texts for all `ggplot` functions [**here**](http://docs.ggplot2.org/current/) as well, with output of all the code in the help texts - very convenient to scroll through to find something that looks similar to your own setting. – Henrik Jan 05 '14 at 21:20
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    [**This**](http://www.cookbook-r.com/Graphs/) is a nice tutorial for `ggplot`, with a section about [**colours**](http://www.cookbook-r.com/Graphs/Colors_%28ggplot2%29/). – Henrik Jan 05 '14 at 22:07