3
votes
library(ggplot2)


 data <- 
  data.frame(
    group=factor(c("a","c","b","b","c","a")),
    x=c("A","B","C", "D","E","F"),
    y=c(3,2,10,11,4,5)) 

> data
  group x  y
1     a A  3
2     c B  2
3     b C 10
4     b D 11
5     c E  4
6     a F  5

#And plot this:
ggplot(data)+
  geom_bar(aes(x=x, y=y, fill=group, order=group),
           stat="identity",
           position="dodge")+
  coord_flip()

This gives a figure where x is plotted according to factor levels: enter image description here

But how can one reorder x according to a custom order of the group variable and at the same time arrange within group according to say descending y. For instance if I want to plot first "c" (red), then "a" (green) and then "b" (blue) groups, the plot order of the x-axis (x variable) would be: E, B, F, A, D, C. Note this may have resemblance to this SO question.

1
Why your data frame has a column x with values best,good etc and in the display it has A,B,C ??Colonel Beauvel
@Colonel Beauvel: Good question, gives no meaning. I mixed two data set up and stupidly went for lunch. I have update it!user3375672
Thks for the clarification!Colonel Beauvel

1 Answers

6
votes

You need first to format your dataframe without factor. Then you need to define the x column as factor but with order depending on y minimum per group. This specific ordering you want needs to be specified in levels argument.

Here we go:

data <- 
  data.frame(
    group=c("a","c","b","b","c","a"),
    x=c("A","B","C", "D","E","F"),
    y=c(3,2,10,11,4,5)) 

data$x = with(data, factor(x, levels=x[order(ave(y, group, FUN=min),y)]))

ggplot(data, aes(x, y, fill=group)) + 
  geom_bar(stat='identity', position='dodge') + 
  coord_flip()

enter image description here