[R] Calculation of Age heaping
Md. Moyazzem Hossain
ho@@@|nmm @end|ng |rom jun|v@edu
Mon Aug 9 12:27:52 CEST 2021
Dear Avi Gross,
Thank you very much for your email. Actually, I have a little knowledge of
R programming.
I have a dataset of ages ranging from 10 to 90. Now, I want to find out the
Whipple’s index for age heaping among individuals for each digit like
0,1,...,9.
I have searched in google I got the following functions. That's why I use
the package and the following code.
*check_heaping_whipple(Value, Age, ageMin = 25, ageMax = 65, digit = c(0,
5)) * [link:
https://rdrr.io/github/timriffe/DemoTools/man/check_heaping_whipple.html]
Thanks in advance.
Md
On Sun, Aug 8, 2021 at 10:48 PM Avi Gross via R-help <r-help using r-project.org>
wrote:
> It is not too clear to me what you want to do and why that package is the
> way to do it. Is the package a required part of your assignment? If so,
> maybe someone else can help you find how to properly install it on your
> machine, assuming you have permissions to replace the other package it
> seems to require. You may need to create your own environment. If you are
> open to other ways, see below.
>
> Are you trying to do something as simple as counting how many people in
> your data are in various buckets such as each age truncated or rounded to
> an integer from 0 to 99? If so, you might miss some of my cousins alive at
> 100 or that died at 103 and 105 recently 😉
>
> Or do you want ages in groups of 10 or so meaning the first of two digits
> is 0 through 9?
>
> Many such things can be done quite easily without the package if you wish.
>
> As far as I can tell, your code reads in a data.frame from your local file
> with any number of columns that you do not specify. If it is one, the
> solution becomes much easier. You then for some reason feel the need to
> convert it to a matrix. You then do whatever your Whipple does several ways.
>
> Here is an outline of ways you can do this yourself.
>
> First, combine all your data into one or more vectors. You already have
> that in your data.frame but if all columns are numeric, you can of course
> do something with a matrix.
>
> Then make sure you remove anything objectionable, such as negative numbers
> or numbers too large or NA or whatever your logic requires.
>
> If you have a variable ready with N entries to hold the buckets, such as
> length(0:100) or for even buckets of 5, perhaps length(0:99)/5 you
> initialize that to all zeroes.
>
> Now take your data, and perhaps transform it into a copy where every age
> is truncated to an integer or divided by 5 first or whatever you need so it
> contains a pure integer like 6 or 12. What I mean is if your buckets are 5
> wide, and you want 5:9 to map into one bucket, your transform might be
> as.integer(original/5.0) or one of many variants like that.
>
> You can now simply use one of many methods in R to loop through your
> values that result and assuming you have a zeroed vector called counter and
> the current value being looked at is N, you simply increment counter[N] or
> of N-1 or whatever your logic requires.
>
> Alternately R has many built-in methods (or in other packages) like cut()
> that might do something similar without as much work.
>
> And just for the heck of it, I tried your download instructions. Unlike
> your three choices, I was offered 13 choices and as I had no clue what YOU
> were supposed to download, I aborted.
>
> 1: All
> 2: CRAN packages only
> 3: None
> 4: colorspace (2.0-1 -> 2.0-2) [CRAN]
> 5: isoband (0.2.4 -> 0.2.5) [CRAN]
> 6: utf8 (1.2.1 -> 1.2.2) [CRAN]
> 7: cli (3.0.0 -> 3.0.1) [CRAN]
> 8: ggplot2 (3.3.3 -> 3.3.5) [CRAN]
> 9: pillar (1.6.1 -> 1.6.2) [CRAN]
> 10: tibble (3.1.2 -> 3.1.3) [CRAN]
> 11: dplyr (1.0.6 -> 1.0.7) [CRAN]
> 12: Rcpp (1.0.6 -> 1.0.7) [CRAN]
> 13: curl (4.3.1 -> 4.3.2) [CRAN]
> 14: cpp11 (0.2.7 -> 0.3.1) [CRAN]
>
> In your case, if you selected All, what exactly did you expect?
>
>
> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Md. Moyazzem
> Hossain
> Sent: Sunday, August 8, 2021 5:25 PM
> To: r-help using r-project.org
> Subject: [R] Calculation of Age heaping
>
> Dear R-expert,
>
> I hope that you are doing well.
>
> I am interested to calculate the age heaping for each digit (0,1,...,9)
> based on my data set. However, when I run the R code, I got the following
> errors. Please help me in this regard.
>
> ##########################################
> library(remotes)
> install_github("timriffe/DemoTools")
>
> ###
> Downloading GitHub repo timriffe/DemoTools using HEAD These packages have more
> recent versions available.
> It is recommended to update all of them.
> Which would you like to update?
>
> 1: All
> 2: CRAN packages only
> 3: None
>
> Enter one or more numbers, or an empty line to skip updates: 1
>
> *After installing some packages, I got the following error message*
>
> package ‘backports’ successfully unpacked and MD5 sums checked
> Error: Failed to install 'DemoTools' from GitHub:
> (converted from warning) cannot remove prior installation of package
> ‘backports’
>
> I am attaching the R-code and data file along with this email.
>
> Please help me in this regard.
>
> Thanks in advance.
> --
> 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>*
>
> ______________________________________________
> R-help using 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]]
More information about the R-help
mailing list