Re: Reordering a grouped bar plot by one of the variables

[Jaydeep Bhat]

you can try reorder() function. Here is a simple fix in the code (based on your input code):

out of order plot:

  library(viridis) #optional

p <- ggplot(F1, aes(x=reorder(reg,-dat1079), y=dat1079, fill=gene)) + # you just need to reorder using minus

  geom_bar(position="dodge", stat="identity") +

  labs(x= "", y ="Number of samples") +

  theme(legend.title = element_blank()) 

  scale_color_viridis(discrete = TRUE, option = "D") +

  scale_fill_viridis(discrete = TRUE)  

p

Just tested with your example data and it worked. I could produce a bar plot in the descending order (L to R) like you asked.

Hope it helps!

On Tue, Feb 16, 2021 at 9:17 AM j0hnCathey <jtca...@gmail.com> wrote:

I've googled and can't find anything recent about reordering bars on a grouped bar plot. I know how to reorder an ungrouped bar plot. A page on stackoverflow is 4 years old, created the grouping using the melt function in reshape2 and i think there must be a better way now. I want to order the graph by descending order (L to R) of the largest level of the variable gene (OXA-48). The order of the regions doesn't matter.

Here's my data:

reg=c(rep('Northern', 3), rep('Central/Eastern', 3), rep('Western', 3), rep('Southern', 3))

gene=rep(c("OXA-48",'NDM', "OXA-48+NDM"), 4)

dat1079 <- c(21, 9, 4, 54, 19, 8, 72, 18, 14, 150, 56, 11)

F1 <- data.frame(reg, gene, dat1079)

F1

out of order plot:

library(viridis) #optional

ggplot(F1, aes(fill=gene, y=dat1079, x=reg)) + 

        geom_bar(position="dodge", stat="identity") +

        labs(x= "", y ="Number of samples") +

        theme(legend.title = element_blank()) +

        scale_color_viridis(discrete = TRUE, option = "D") +

        scale_fill_viridis(discrete = TRUE)  

thanks for help

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