Dear Dileepkumar R,
As is obvious from the tick marks, the vertical axis is not log-scaled:
> log10(99.999) - log10(99.99)
[1] 3.908865e-05
> log10(99) - log10(90)
[1] 0.04139269
That is, these (approximately?) equally spaced ticks aren't equally
spaced on the log scale.
The axis is instead apparently (at least approximately) on the logit
(log-odds) scale:
> library(car)
Loading required package: carData
> logit(99.999) - logit(99.99)
[1] 2.302675
> logit(99) - logit(90)
[1] 2.397895
You can get a graph close to the one you shared via the following:
library(car) # repeated so you don't omit it
> logits <- logit(y_values)
> plot(x_value, logits, log="x", axes=FALSE,
+ xlim=c(1, 200), ylim=logit(c(10, 99.999)),
+ xlab="Precipitation Intensity (mm/d)",
+ ylab="Cumulative Probability",
+ main="Daily U.S. Precipitation",
+ col="magenta")
> axis(1, at=c(1, 2, 5, 10, 20, 50, 100, 200))
> probabilityAxis(side=2, at=c(10, 30, 50, 90, 99, 99.9, 99.99,
99.999)/100)
> box()
Comments:
This produces probabilities, not percents, on the vertical axis, which
conforms to what the axis label says. Also, the ticks in the R version
point out rather than into the plotting region -- the former is
generally considered better practice. Finally, the graph is not a
histogram as the original title states.
I hope this helps,
John
--------------------------------------------
John Fox
Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
web: https://socialsciences.mcmaster.ca/jfox/
On 7/27/2020 11:56 AM, Dileepkumar R wrote:
I think the attached sample figure is not visible
Here is the sample figure:
https://drive.google.com/file/d/16Uy3JD0wsEucUv_KOhXCxLZ4U-3wiBTs/view?usp=sharing
sincerely,
Dileepkumar R
On Mon, Jul 27, 2020 at 7:13 PM Dileepkumar R <dileepkunj...@gmail.com>
wrote:
Dear All,
I want to plot a simple cumulative probability distribution graph with
like the attached screenshot.
But I couldn't fix the y-axis scale as in that screenshot.
My data details are follows:
y_values
=c(66.78149,76.10846,81.65518,85.06448,87.61703,89.61314,91.20297,92.36884,
93.64070,94.57693,95.23052,95.75163,96.15792,96.58188,96.97933,97.29730,
97.59760,97.91556,98.14520,98.37485,98.57799,98.74580,98.87829,99.06377,
99.16093,99.25808,99.37290,99.45239,99.54072,99.59371,99.62904,99.66437,
99.69970,99.70853,99.72620,99.73503,99.77036,99.79686,99.80569,99.82335,
99.83219,99.84985,99.86751,99.87635,99.87635,99.90284,99.90284,99.90284,
99.91168,99.92051,99.92051,99.93817,99.93817,99.93817,99.95584,99.95584,
99.97350,99.97350,99.97350,99.97350,99.97350,99.97350,99.97350)
x_value=seq(63)
Thank you all in advance
Dileepkumar R
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