Dear Richard O'Keefe, Thank you very much.
Take care. Md On Tue, Aug 10, 2021 at 8:33 AM Richard O'Keefe <rao...@gmail.com> wrote: > If you want to look at each digit, you should take a step back and > think about what the > Whipple index is actually doing. Basically, the model underlying the > Whipple index is > that Pr(age = xy) = Pr(age = x*)Pr(age = *y) if there is no age > heaping. Or rather, > since the age is restricted to 23..62 (a whole number of decades), it is > that > Pr(age - 23 = xy) = Pr(age - 23 = x*)Pr(age - 23 = *y) for 0 <= x <= > 3, 0 <= y <= 9 > and the "nothing to see here" case is Pr(age = *y) = 1/10. > > I wasted way too much time trying to find a free age data set where > age *wasn't* already > grouped into 5 year bands. > > So what's wrong with a chi-square test? > I would certainly want to check whether the high and low digits of age > - 23 were in fact independent. > > On Mon, 9 Aug 2021 at 23:48, Md. Moyazzem Hossain <hossai...@juniv.edu> > wrote: > > > > Dear Greg, > > > > Thank you very much for your suggestion. I will try it and follow your > > advice. > > > > Actually, I want to find out the index for each digit like 0, 1, ..., 9. > > > > Thanks in advance. Take care. > > > > Md > > > > > > > > On Mon, Aug 9, 2021 at 12:05 PM Greg Minshall <minsh...@umich.edu> > wrote: > > > > > Md, > > > > > > if this is what you are looking for: > > > ---- > > > https://en.wikipedia.org/wiki/Whipple%27s_index > > > ---- > > > > > > then, the article says the algorithm is > > > ---- > > > The index score is obtained by summing the number of persons in the age > > > range 23 and 62 inclusive, who report ages ending in 0 and 5, dividing > > > that sum by the total population between ages 23 and 62 years > inclusive, > > > and multiplying the result by 5. Restated as a percentage, index scores > > > range between 100 (no preference for ages ending in 0 and 5) and 500 > > > (all people reporting ages ending in 0 and 5). > > > ---- > > > > > > that seems fairly straight forward. if you are trying to learn R, > > > and/or learn programming, i might suggest you *not* use a package, and > > > rather work on coding up the calculation yourself. that would probably > > > be a good, but not too hard, exercise, of some interest. enjoy! > > > > > > cheers, Greg > > > > > > > > > > -- > > Best Regards, > > Md. Moyazzem Hossain > > Associate Professor > > Department of Statistics > > Jahangirnagar University > > Savar, Dhaka-1342 > > Bangladesh > > Website: http://www.juniv.edu/teachers/hossainmm > > Research: *Google Scholar > > <https://scholar.google.com/citations?user=-U03XCgAAAAJ&hl=en&oi=ao>*; > > *ResearchGate > > <https://www.researchgate.net/profile/Md_Hossain107>*; *ORCID iD > > <https://orcid.org/0000-0003-3593-6936>* > > > > [[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. > -- Best Regards, Md. Moyazzem Hossain Associate Professor Department of Statistics Jahangirnagar University Savar, Dhaka-1342 Bangladesh Website: http://www.juniv.edu/teachers/hossainmm Research: *Google Scholar <https://scholar.google.com/citations?user=-U03XCgAAAAJ&hl=en&oi=ao>*; *ResearchGate <https://www.researchgate.net/profile/Md_Hossain107>*; *ORCID iD <https://orcid.org/0000-0003-3593-6936>* [[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.
