[R] Comparing 2 different files in R

[Ben Tupper]

Hi,

On May 17, 2015, at 6:56 AM, Lyle Warren <lyle00 at gmail.com> wrote:

> Thanks and sorry for being light on detail.
> 
> I have multiple files of raw human genome SNP data. Very large - the
> compressed zip files are about 8mb large.
> 

You'll have better luck asking on the Bioconductor help list ( http://www.bioconductor.org/ ) You may want to start here...

http://www.bioconductor.org/help/support/posting-guide/

and here...

http://www.bioconductor.org/help/search/index.html?q=SNP


Cheers,
Ben




> On 17 May 2015 at 20:53, John Kane <jrkrideau at inbox.com> wrote:
> 
>> Probably but since you  have not told us anything about what you are doing
>> it is difficult to say.
>> 
>> You might find these links helpful
>> http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
>> and http://adv-r.had.co.nz/Reproducibility.html
>> 
>> 
>> John Kane
>> Kingston ON Canada
>> 
>> 
>>> -----Original Message-----
>>> From: lyle00 at gmail.com
>>> Sent: Sun, 17 May 2015 08:32:45 +1000
>>> To: r-help at r-project.org
>>> Subject: [R] Comparing 2 different files in R
>>> 
>>> Hi,
>>> 
>>> I have multiple files that I want to compare in R. They contain SNP data
>>> with genotype in the 4th column, which is what I want to compare.
>>> 
>>> Is there any easy way to do this?
>>> 
>>>      [[alternative HTML version deleted]]
>>> 
>>> ______________________________________________
>>> R-help at 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.
>> 
>> ____________________________________________________________
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>> 
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at 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.