[R] create groups from data with duplicates, such that each group has a duplicate represented once

[Kevin Wamae]

Dear Petr, thank you for the guidance.

A colleague managed to solve it....

I'll definitely use "dput" for future postings.

Regards
------------------
Kevin Wamae

On 17/01/2019, 03:57, "PIKAL Petr" <petr.pikal using precheza.cz> wrote:

    Hi
    
    Instead of attachment which is usually removed you should use dput
    
    Something like output from
    dput(head(yourdata,30))
    
    To remove duplicate values see
    
    unique or duplicated
    
    Cheers
    Petr
    
    > -----Original Message-----
    > From: R-help <r-help-bounces using r-project.org> On Behalf Of Kevin Wamae
    > Sent: Thursday, January 17, 2019 1:29 AM
    > To: r-help using r-project.org
    > Subject: [R] create groups from data with duplicates, such that each group has
    > a duplicate represented once
    >
    > Hi, I have a sequencing run with ~3000 samples (attached dataset). The
    > samples were initially tagged and amplified by PCR in duplicate. The tags used
    > range from MID01 to MID26.
    >
    > MID01-MID13 were used for pair 1 while MID14-MID26 were used for pair 2.
    > The tags are re-used to allow samples to be pooled.
    >
    > The pooling process will involve mixing samples with MID01-26 into the first
    > group, the next group samples with MID01-26 into the second group and so on.
    >
    > I'm hoping to get an R script that can create these groups such that for each
    > group, any of the Tags appears only once. An example is shown below.
    >
    > ID
    >
    > TagA
    >
    > TagB
    >
    > group
    >
    > 180
    >
    > MID03
    >
    > MID10
    >
    > group1
    >
    > 181
    >
    > MID04
    >
    > MID06
    >
    > group1
    >
    > 182
    >
    > MID05
    >
    > MID07
    >
    > group1
    >
    > 183
    >
    > MID03
    >
    > MID09
    >
    > group2
    >
    > 184
    >
    > MID04
    >
    > MID10
    >
    > group2
    >
    > 185
    >
    > MID05
    >
    > MID06
    >
    > group2
    >
    > 186
    >
    > MID01
    >
    > MID06
    >
    > group3
    >
    > 187
    >
    > MID02
    >
    > MID07
    >
    > group3
    >
    > 188
    >
    > MID03
    >
    > MID08
    >
    > group3
    >
    >
    >
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