Transform only one axis to log10 scale with ggplot2

I have the following problem: I would like to visualize a discrete and a continuous variable on a boxplot in which the latter has a few extreme high values. This makes the boxplot meaningless (the points and even the "body" of the chart is too small), that is why I would like to show this on a log10 scale. I am aware that I could leave out the extreme values from the visualization, but I am not intended to.

Let's see a simple example with diamonds data:

m <- ggplot(diamonds, aes(y = price, x = color)) 

The problem is not serious here, but I hope you could imagine why I would like to see the values at a log10 scale. Let's try it:

m + geom_boxplot() + coord_trans(y = "log10") 

As you can see the y axis is log10 scaled and looks fine but there is a problem with the x axis, which makes the plot very strange.

The problem do not occur with scale_log, but this is not an option for me, as I cannot use a custom formatter this way. E.g.:

m + geom_boxplot() + scale_y_log10() 

My question: does anyone know a solution to plot the boxplot with log10 scale on y axis which labels could be freely formatted with a formatter function like in this thread?

Editing the question to help answerers based on answers and comments:

What I am really after: one log10 transformed axis (y) with not scientific labels. I would like to label it like dollar (formatter=dollar) or any custom format.

If I try @hadley's suggestion I get the following warnings:

> m + geom_boxplot() + scale_y_log10(formatter=dollar) Warning messages: 1: In max(x) : no non-missing arguments to max; returning -Inf 2: In max(x) : no non-missing arguments to max; returning -Inf 3: In max(x) : no non-missing arguments to max; returning -Inf 

With an unchanged y axis labels:

4 Answers

The simplest is to just give the 'trans' (formerly 'formatter') argument of either the scale_x_continuous or the scale_y_continuous the name of the desired log function:

library(ggplot2) # which formerly required pkg:plyr m + geom_boxplot() + scale_y_continuous(trans='log10') 

EDIT: Or if you don't like that, then either of these appears to give different but useful results:

m <- ggplot(diamonds, aes(y = price, x = color), log="y") m + geom_boxplot() m <- ggplot(diamonds, aes(y = price, x = color), log10="y") m + geom_boxplot() 

EDIT2 & 3: Further experiments (after discarding the one that attempted successfully to put "$" signs in front of logged values):

# Need a function that accepts an x argument # wrap desired formatting around numeric result fmtExpLg10 <- function(x) paste(plyr::round_any(10^x/1000, 0.01) , "K $", sep="") ggplot(diamonds, aes(color, log10(price))) + geom_boxplot() + scale_y_continuous("Price, log10-scaling", trans = fmtExpLg10) 

Note added mid 2017 in comment about package syntax change:

scale_y_continuous(formatter = 'log10') is now scale_y_continuous(trans = 'log10') (ggplot2 v2.2.1)

I had a similar problem and this scale worked for me like a charm:

breaks = 10**(1:10) scale_y_log10(breaks = breaks, labels = comma(breaks)) 

as you want the intermediate levels, too (10^3.5), you need to tweak the formatting:

breaks = 10**(1:10 * 0.5) m <- ggplot(diamonds, aes(y = price, x = color)) + geom_boxplot() m + scale_y_log10(breaks = breaks, labels = comma(breaks, digits = 1)) 

After executing::

Another solution using scale_y_log10 with trans_breaks, trans_format and annotation_logticks()

library(ggplot2) m <- ggplot(diamonds, aes(y = price, x = color)) m + geom_boxplot() + scale_y_log10( breaks = scales::trans_breaks("log10", function(x) 10^x), labels = scales::trans_format("log10", scales::math_format(10^.x)) ) + theme_bw() + annotation_logticks(sides = 'lr') + theme(panel.grid.minor = element_blank()) 

I think I got it at last by doing some manual transformations with the data before visualization:

d <- diamonds # computing logarithm of prices d$price <- log10(d$price) 

And work out a formatter to later compute 'back' the logarithmic data:

formatBack <- function(x) 10^x # or with special formatter (here: "dollar") formatBack <- function(x) paste(round(10^x, 2), "$", sep=' ') 

And draw the plot with given formatter:

m <- ggplot(d, aes(y = price, x = color)) m + geom_boxplot() + scale_y_continuous(formatter='formatBack') 

Sorry to the community to bother you with a question I could have solved before! The funny part is: I was working hard to make this plot work a month ago but did not succeed. After asking here, I got it.

Anyway, thanks to @DWin for motivation!