>>>>> Martin Maechler >>>>> on Tue, 28 Jul 2020 15:56:10 +0200 writes:
>>>>> John Fox >>>>> on Mon, 27 Jul 2020 12:57:57 -0400 writes: >> 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 > Small remark : You don't need car (or any other extra pkg) to have logit: > logit <- plogis # is sufficient > Note that the ?plogis (i.e. 'Logistic') help page has had a > \concept{logit} > entry (which would help if one used help.search() .. {I don't; > I have 10000 of packages}), > and that same help page has been talking about 'logit' for ca 16 > years now (and I'm sure this is news for most readers, still)... but now I see that car uses the "empirical logit" function, where plogis() provides the mathematical logit(): The former is typically needed for data transformations where you don't want to map {0,1} to -/+ Inf but rather to finite values .. So I should stayed quiet, probably.. Martin >> You can get a graph close to the one you shared via the following: >> library(car) # repeated so you don't omit it > .. and here you need 'car' for the nice probabilityAxis(.) .. >>> 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 >>>> >>> >>> [[alternative HTML version deleted]] >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >>> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.