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December 17, 2015 04:29
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#A solution with ggplot2 | |
#library(reshape2) | |
#test.m <- melt(test) | |
#sample of dataframe: | |
head(combined.data) | |
> region expression species | |
1 NAc 0.4711284 macaque | |
2 NAc -0.1003201 macaque | |
3 Pu -0.3629559 macaque | |
4 Caud -0.3749001 macaque | |
5 GPe -0.5241925 macaque | |
6 GPi -0.5855168 macaque | |
#Plot the data: | |
ggplot(combined.data, aes(x = region, y = expression, fill = species)) + | |
+ geom_boxplot() + | |
+ scale_fill_manual(values = c("yellow", "orange")) | |
+ ggtitle("MAOA expression in human vs. macaque") | |
+ theme(axis.text.x = element_text(angle=90, face="bold", colour="black")) | |
#http://stackoverflow.com/questions/14608422/box-plots-for-groups | |
#http://stackoverflow.com/questions/7883190/how-to-display-two-groups-of-boxplots |
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