Agfdhyk

I am making a dodged bar chart using ggplot with discrete x scale, the x axis are now arranged in alphabetical order, but I need to rearrange it so that it is ordered by the value of the y-axis (i.e., the tallest bar will be positioned on the left).

I tried order or sort, but result in sort the x-axis, but not the bars respectively.

What have I done wrong?

Try manually setting the levels of the factor on the x-axis. For example:

library(ggplot2)

# Automatic levels

ggplot(mtcars, aes(factor(cyl))) + geom_bar()    

# Manual levels

cyl_table <- table(mtcars$cyl)

cyl_levels <- names(cyl_table)[order(cyl_table)]

mtcars$cyl2 <- factor(mtcars$cyl, levels = cyl_levels)

# Just to be clear, the above line is no different than:

# mtcars$cyl2 <- factor(mtcars$cyl, levels = c("6","4","8"))

# You can manually set the levels in whatever order you please. 

ggplot(mtcars, aes(cyl2)) + geom_bar()

As James pointed out in his answer, reorder is the idiomatic way of reordering factor levels.

mtcars$cyl3 <- with(mtcars, reorder(cyl, cyl, function(x) -length(x)))

ggplot(mtcars, aes(cyl3)) + geom_bar()

The best way for me was using vector with categories in order I need as limits parameter to scale_x_discrete. I think it is pretty simple and straightforward solution.

ggplot(mtcars, aes(factor(cyl))) + 

  geom_bar() + 

  scale_x_discrete(limits=c(8,4,6))

You can use reorder:

qplot(reorder(factor(cyl),factor(cyl),length),data=mtcars,geom="bar")

Edit:

To have the tallest bar at the left, you have to use a bit of a kludge:

qplot(reorder(factor(cyl),factor(cyl),function(x) length(x)*-1),

   data=mtcars,geom="bar")

I would expect this to also have negative heights, but it doesn't, so it works!

Hadley has been developing a package called forcats. This package makes the task so much easier. You can exploit fct_infreq() when you want to change the order of x-axis by the frequency of a factor. In the case of the mtcars example in this post, you want to reorder levels of cyl by the frequency of each level. The level which appears most frequently stays on the left side. All you need is the fct_infreq().

library(ggplot2)

library(forcats)



ggplot(mtcars, aes(fct_infreq(factor(cyl)))) +

geom_bar() +

labs(x = "cyl")

If you wanna go the other way around, you can use fct_rev() along with fct_infreq().

ggplot(mtcars, aes(fct_rev(fct_infreq(factor(cyl))))) +

geom_bar() +

labs(x = "cyl") 

I realize this is old, but maybe this function I created is useful to someone out there:

order_axis<-function(data, axis, column)

{

  # for interactivity with ggplot2

  arguments <- as.list(match.call())

  col <- eval(arguments$column, data)

  ax <- eval(arguments$axis, data)



  # evaluated factors

  a<-reorder(with(data, ax), 

             with(data, col))



  #new_data

  df<-cbind.data.frame(data)

  # define new var

  within(df, 

         do.call("<-",list(paste0(as.character(arguments$axis),"_o"), a)))

}

Now, with this function you can interactively plot with ggplot2, like this:

ggplot(order_axis(df, AXIS_X, COLUMN_Y), 

       aes(x = AXIS_X_o, y = COLUMN_Y)) +

        geom_bar(stat = "identity")

As can be seen, the order_axis function creates another dataframe with a new column named the same but with a _oat the end. This new column has levels in ascending order, so ggplot2 automatically plots in that order.

This is somewhat limited (only works for character or factor and numeric combinations of columns and in ascending order) but I still find it very useful for plotting on the go.