I would like to plot a multiple bar plot as shown below against the same y axis. So, I can observe the trend across different samples.
a<-c(rep("C1",3),rep("C2",5),rep("C4",4)) des<-c("ab","cd","de","ab","cd","de","ef","fg","ab","bc","cd","de") count<-c(23:34) x<-data.frame(a,des,count) ggplot(x,aes(x=des,y=count,fill=a))+geom_bar(position="fill")+coord_flip()
I get the following image with some warnings.
Mapping a variable to y and also using stat="bin". With stat="bin", it will attempt to set the y value to the count of cases in each group. This can result in unexpected behavior and will not be allowed in a future version of ggplot2. If you want y to represent counts of cases, use stat="bin" and don't map a variable to y. If you want y to represent values in the data, use stat="identity". See ?geom_bar for examples. (Deprecated; last used in version 0.9.2)
What I would like is to have multiple plots from different dataframes like
x in above example and be able to plot them one next to each other such that the y axis is same... so comparison of such a trend across samples would be possible.
I am wondering,
- how to achieve the ordering in y axis and
- if a particular y axis element is not present in another dataframe, would it be possible to have a blank space in the corresponding bar space of the graph?
Any help will be very much appreciated. Thanks a lot in advance!