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. ______________________________________________ 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.
