ggplot2 histogram changes plot when using facet_grid?

Question

I'm trying to wrap my head around why a histogram using qplot is changing when I add a facet_wrap. You can find the data I used for this example here

The factors in my facet_grid come from using cut :

library(ggplot2)
data <- read.csv("data.csv")
data$cuts <- cut(data$y, c(0, 50, 100, 500, Inf))

So now I have this:

> summary(data)
       y                 x                cuts    
 Min.   :  10.00   Min.   :0.000   (0,50]   :530  
 1st Qu.:  20.75   1st Qu.:1.000   (50,100] :179  
 Median :  46.00   Median :1.000   (100,500]:258  
 Mean   : 110.18   Mean   :0.834   (500,Inf]: 33  
 3rd Qu.: 121.00   3rd Qu.:1.000                  
 Max.   :1526.00   Max.   :1.000                  

If I look at only the section where cuts=="(0,50]" , it looks fine.:

qplot(x, data=subset(data, cuts=="(0,50]"))

But when I add a facet grid, the y-axes are all wrong:

qplot(x, data=data) + facet_grid(cuts~., scales="free_y")

Notice that the y-axis on the top facet is now only 40ish instead of over 450. The only facet that seems to be right is (500,Inf] .

edit: I'm using ggplot 0.9.0 in R 2.14.2

Answer 1

ggplot 9.1 was release a day or so ago and this was taken care of in that package release. So my answer is download the ggplot2 0.9.1 bug fix version.

Also you may want to play with the right argument in geom_histogram as in: geom_histogram(binwidth = 0.2, right = TRUE) +

Answer 2

It seems to be the ggplot facet_grid "ignoring duplicate row" bug as Sandy indicates. A simple work around is to add this do-nothing line,

data$index = seq.int(1,1000,1)

to make every row unique and you get what you want.