ggplot2: sorting a plot

I have a data.frame, that is sorted from highest to lowest. For example:

x <- structure(list(variable = structure(c(10L, 6L, 3L, 4L, 2L, 8L, 
9L, 5L, 1L, 7L), .Label = c("a", "b", "c", "d", "e", "f", "g", 
"h", "i", "j"), class = c("ordered", "factor")), value = c(0.990683229813665, 
0.975155279503106, 0.928571428571429, 0.807453416149068, 0.717391304347826, 
0.388198757763975, 0.357142857142857, 0.201863354037267, 0.173913043478261, 
0.0496894409937888)), .Names = c("variable", "value"), row.names = c(10L, 
6L, 3L, 4L, 2L, 8L, 9L, 5L, 1L, 7L), class = "data.frame")

ggplot(x, aes(x=variable,y=value)) + geom_bar(stat="identity") + 
 scale_y_continuous("",label=scales::percent) + coord_flip() 

Now, the data is nice and sorted, but when I plot, it comes out sorted by factor. It's annoying, how do I fix it?

This seems to be what you're looking for:

g <- ggplot(x, aes(reorder(variable, value), value))
g + geom_bar() + scale_y_continuous(formatter="percent") + coord_flip()

The reorder() function will reorder your x axis items according to the value of variable.

Here are a couple of ways.

The first will order things based on the order seen in the data frame:

x$variable <- factor(x$variable, levels=unique(as.character(x$variable)) )

The second orders the levels based on another variable (value in this case):

x <- transform(x, variable=reorder(variable, -value) ) 

I've recently been struggling with a related issue, discussed at length here: https://stackoverflow.com/questions/7299440/ordering-variables-by-groups-in-ggplot2-barplots-with-coord-flip .

As it happens, the reason I had a hard time explaining my issue clearly, involved the relation between (the order of) factors and coord_flip(), as seems to be the case here.

I get the desired result by adding + xlim(rev(levels(x$variable))) to the ggplot statement:

ggplot(x, aes(x=variable,y=value)) + geom_bar() + 
scale_y_continuous("",formatter="percent") + coord_flip() 
+  xlim(rev(levels(x$variable)))

This reverses the order of factors as found in the original data frame in the x-axis, which will become the y-axis with coord_flip(). Notice that in this particular example, the variable also happen to be in alphabetical order, but specifying an arbitrary order of levels within xlim() should work in general.

I don't know why this question was reopened but here is a tidyverse option.

x %>% 
  arrange(desc(value)) %>%
  mutate(variable=fct_reorder(variable,value)) %>% 
ggplot(aes(variable,value,fill=variable)) + geom_bar(stat="identity") + 
  scale_y_continuous("",label=scales::percent) + coord_flip() 

You need to make the x-factor into an ordered factor with the ordering you want, e.g

x <- data.frame("variable"=letters[1:5], "value"=rnorm(5)) ## example data
x <- x[with(x,order(-value)), ] ## Sorting
x$variable <- ordered(x$variable, levels=levels(x$variable)[unclass(x$variable)])

ggplot(x, aes(x=variable,y=value)) + geom_bar() +
   scale_y_continuous("",formatter="percent") + coord_flip()

I don't know any better way to do the ordering operation. What I have there will only work if there are no duplicate levels for x$variable.