R - ggplot2 change x-axis values to non-log values

Question

I am plotting some payment distribution information and I aggregated the data after scaling it to log-normal (base-e). The histograms turn out great but I want to modify the x-axis to display the non-log equivalents.

My current axis displays [0:2.5:10] values Alternatively, I would like to see values for exp(2.5), exp(5), etc.

Any suggestions on how to accomplish this? Anything I can add to my plotting statement to scale the x-axis values? Maybe there's a better approach - thoughts?

Current code:

ggplot(plotData, aes_string(pay, fill = pt)) + geom_histogram(bins = 50) + facet_wrap(~M_P)

Answered...Final plot:

Is this solved if you exponentiate the data and then log-scale the x-axis? — josliber
– josliber, Commented Feb 8, 2016 at 4:28
@josliber applying "+scale_x_log10()" is limiting. What if you want scale using a distribution using a different log base? — Nikolkj
– Nikolkj, Commented Feb 8, 2016 at 5:33
@NikolayRodionov If you look at the documentation of scale_x_log10 you'll see that it is just a convenience function with a specific trans argument to scale_x_continuous. You can use whatever transformation you'd like - logarithm of any base, or anything else. — Gregor Thomas
– Gregor Thomas, Commented Feb 8, 2016 at 5:59
@Gregor your right, thanks. Still running into the same issue though -- if I use scale_x_log10() the x axis values are still 1 to 10. Any way to change the x values to the 10^x equivalents? My goal is to keep the original axis value labels while maintaining the log grouping. — Nikolkj
– Nikolkj, Commented Feb 8, 2016 at 6:05

Mist · Accepted Answer · 2016-02-08 05:43:46Z

7

Not sure if this is exactly what you are after but you can change the text of the x axis labels to whatever you want using scale_x_continuous.

Here's without:

ggplot(data = cars) + geom_histogram(aes(x = speed), binwidth = 1)

Here's with:

ggplot(data = cars) + geom_histogram(aes(x = speed), binwidth = 1) +
  scale_x_continuous(breaks=c(5,10,15,20,25), labels=c(exp(5), exp(10), exp(15), exp(20), exp(25)))

answered Feb 8, 2016 at 5:43

Mist

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1 Comment

Nikolkj Over a year ago

Perfect! Worked out great!

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