[R] Help manipulating 23andme data in R - reproducing relationship results

[Bert Gunter]

(No response necessary)

What struck me about this post was the apparent mismatch: the OP
seemed not to have a clue where to begin. Maybe he somehow has been
assigned or chose a task for which his skills and background are
inadequate. This is not really a criticism: if someone told me to make
a dining room set, my reply would be: "Either find someone else or see
you in about a year after which I may have learned enough to attempt
the task. "

So maybe the OP should give up looking for internet advice altogether
and find someone local to work with?

And, of course, apologies if I have misinterpreted.

Cheers,
Bert



Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll




On Sun, May 17, 2015 at 9:52 AM, Jeff Newmiller
<jdnewmil at dcn.davis.ca.us> wrote:
> This is a very domain-specific question (genetic data analysis), not so much a question about how to use R, so does not seem on topic here. I also suspect that the company 23andme may use some proprietary algorithms, so "replicating their results" could be a tall order.
>
> You might start with the CRAN "Statistical Genetics" task view, and a textbook on the subject. The Bioconductor project may also be a useful resource.
> ---------------------------------------------------------------------------
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>
> On May 16, 2015 6:53:46 AM PDT, Lyle Warren <lyle00 at gmail.com> wrote:
>>Hi,
>>
>>I'm trying to replicate 23andMe's parentage test results within R,
>>using
>>the 23andme raw data. Does anyone know a simple way to do this? I have
>>read
>>the data with gwascat and it seems to be in there fine.
>>
>>Thanks for any help you can give!
>>
>>Cheers,
>>
>>Lyle
>>
>>       [[alternative HTML version deleted]]
>>
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>>and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.