[R] exp / log scaled version of cut?

[Ebert,Timothy Aaron]

In plotting with ggplot the graphing function geom_histogram() can do this for you. https://www.tutorialgateway.org/r-ggplot2-histogram/#:~:text=The%20syntax%20to%20draw%20a%20ggplot%20Histogram%20in,%3D%20FALSE%2C%20show.legend%20%3D%20NA%2C%20inherit.aes%20%3D%20TRUE%29

Binning the raw data could be done using case_when() see https://www.rdocumentation.org/packages/dplyr/versions/0.7.8/topics/case_when

With case_when() you could create a new variable so that you have the original data to refer back to. You might be able to overlay a plot of the axes in the raw data and the graph in binned data. I am not sure that would make much sense, and might be a way to trick readers into making bad conclusions: plotting binned data onto a continuous axis. Might work better to plot the binned data and then change labels using commands like 
xlab(), ylab(), theme(axis_title.x=element_blank()), axis_title.x=element_text(), labs(x="my x", y="my y")

http://www.sthda.com/english/wiki/ggplot2-axis-ticks-a-guide-to-customize-tick-marks-and-labels
https://www.datanovia.com/en/blog/ggplot-axis-labels/

Depending on exactly what you want to do here.

Regards,
Tim

-----Original Message-----
From: R-help <r-help-bounces using r-project.org> On Behalf Of Uwe Ligges
Sent: Thursday, February 3, 2022 7:42 AM
To: Fredrik Karlsson <dargosch using gmail.com>; R-help <r-help using r-project.org>
Subject: Re: [R] exp / log scaled version of cut?

[External Email]

On 03.02.2022 11:06, Fredrik Karlsson wrote:
> Dear list,
>
> For tasks involving people its often good to work with ages in exp or 
> log scale, since either not much or very much happens in the first 10 
> years of life, and much less (or much more) happens the following 
> years. For tables with age range summary statistics, I sometimes would 
> like to have a function that would for instance cut a range of values 
> into breaks exp() scale equidistance bins, but with unconverted values in the labels.
>
> Similar to the way log / exp scaling of figure axis tick marks work, 
> but with a factor returned.
>
> i have not been able to find such a function. Is there one?
>
> Thanks!
>
> Fredrik Karlsson
>
>


Yes, cut():

x <- runif(100, 0, 100)
cut(x, c(0, 10, 100))

Best,
Uwe Ligges

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