[R] Axis with inverse logarithmic scale

Dileepkumar R d||eepkunj@@| @end|ng |rom gm@||@com
Mon Jul 27 19:45:45 CEST 2020


Thanks a lot, John Fox.. Its working

Dileepkumar R
Postdoctoral Researcher,
Interdisciplinary Centre for Water Research (ICWaR),
Indian Institute of Sciences, Bangalore, 560012
Mob: 9953035600, skype id: dileepkunjaai



On Mon, Jul 27, 2020 at 10:27 PM John Fox <jfox using mcmaster.ca> wrote:

> 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 <dileepkunjaai using 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
> >>
> >
> >       [[alternative HTML version deleted]]
> >
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>

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