I have a folder containing csv files, each with two columns of data e.g.:
0,red
15.657,red
0,red
0,red
4.429,red
687.172,green
136.758,green
15.189,red
0.152,red
23.539,red
0.348,red
0.17,blue
0.171,red
0,red
61.543,green
0.624,blue
0.259,red
338.714,green
787.223,green
1.511,red
0.422,red
9.08,orange
7.358,orange
25.848,orange
29.28,orange
I am using the following R code to generate the boxplots:
files <- list.files(path="D:/Ubuntu/BoxPlots/test/", pattern=NULL, full.names=F, recursive=FALSE)
files.len<-length(files)
col_headings<-c("RPKM", "Lineage")
for (i in files){
i2<-paste(i,"png", sep=".")
boxplots<-read.csv(i, header=FALSE)
names(boxplots)<-col_headings
png(i2)
bplot<-ggplot(boxplots, aes(Lineage, RPKM)) + geom_boxplot(aes(fill=factor(Lineage))) + geom_point(aes(colour=factor(Lineage)))
print(bplot)
graphics.off()
}
Now I want to change the colour of the boxplots to match their corresponding x-axis colour labels. I also want to change the names of the x-axis labels, and also their order. Is there a way to do this using ggplot or qplot?
Building off of @shadow's answer, here's how you can manually change the x-axis labels. I also threw in a couple other changes which help improve the look of the graph and legend:
colorder <- c( "green", "orange", "red", "blue")
bplot<-ggplot(temp, aes(Lineage, RPKM)) +
geom_boxplot(aes(fill=factor(Lineage))) +
geom_point(aes(colour=factor(Lineage))) +
scale_color_manual(breaks=colorder, # color scale (for points)
limits=colorder,
values=colorder,
labels=c("hESC1","hESC2","hESC3","hESC4"),
name="Group") +
scale_fill_manual(breaks=colorder, # fill scale (for boxes)
limits=colorder,
values=colorder,
labels=c("hESC1","hESC2","hESC3","hESC4")
name="Group") +
scale_x_discrete(limits=colorder,labels=c("hESC1","hESC2","hESC3","hESC4")) +
theme_bw()
Adding the labels
option to the scale_x_discrete
layer of the plot allows you to change the axis labels. Adding labels
to both scale_fill_manual
and scale_color_manual
allows you to change the legend labels. Adding name
to both lets you change the legend heading. Finally, I added theme_bw()
to the plot to make the background white and add a border around the plot. Hope that helps!