140
votes

I am trying to make a bar-plot where the plot is ordered from the miRNA with the highest value to the miRNA with the lowest. Why does my code not work?

> head(corr.m)

        miRNA         variable value
1    mmu-miR-532-3p      pos     7
2    mmu-miR-1983        pos    75
3    mmu-miR-301a-3p     pos    70
4    mmu-miR-96-5p       pos     5
5    mmu-miR-139-5p      pos    10
6    mmu-miR-5097        pos    47

ggplot(corr.m, aes(x=reorder(miRNA, value), y=value, fill=variable)) + 
  geom_bar(stat="identity")
2

2 Answers

248
votes

Your code works fine, except that the barplot is ordered from low to high. When you want to order the bars from high to low, you will have to add a -sign before value:

ggplot(corr.m, aes(x = reorder(miRNA, -value), y = value, fill = variable)) + 
  geom_bar(stat = "identity")

which gives:

enter image description here


Used data:

corr.m <- structure(list(miRNA = structure(c(5L, 2L, 3L, 6L, 1L, 4L), .Label = c("mmu-miR-139-5p", "mmu-miR-1983", "mmu-miR-301a-3p", "mmu-miR-5097", "mmu-miR-532-3p", "mmu-miR-96-5p"), class = "factor"),
                         variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "pos", class = "factor"),
                         value = c(7L, 75L, 70L, 5L, 10L, 47L)),
                    class = "data.frame", row.names = c("1", "2", "3", "4", "5", "6"))
1
votes

Aside from what @Jaap answered, there are two other ways to order the plot:

1: By using desc argument for value:

ggplot(corr.m, aes(x = reorder(miRNA, desc(value)), y = value, fill = variable)) + 
   geom_bar(stat = "identity")

2: By releveling the miRNA factor and omitting reorder argument:

corr.m %>%
   arrange(desc(value)) %>%
   mutate(miRNA = factor(miRNA, levels = unique(miRNA))) %>% 
ggplot(aes(x = miRNA, y = value, fill = variable)) + 
   geom_bar(stat = "identity")