[adegenet-forum] Reading SNP data as a genind oblect
Jombart, Thibaut
t.jombart at imperial.ac.uk
Thu Jun 21 15:26:23 CEST 2012
Hello,
the problems comes from the format of the raw data. Two alleles from a given locus should be a single column, possibly with a separator such as "/". Here, alleles are on separate columns.
Cheers
Thibaut
--
######################################
Dr Thibaut JOMBART
MRC Centre for Outbreak Analysis and Modelling
Department of Infectious Disease Epidemiology
Imperial College - School of Public Health
St Mary’s Campus
Norfolk Place
London W2 1PG
United Kingdom
Tel. : 0044 (0)20 7594 3658
t.jombart at imperial.ac.uk
http://sites.google.com/site/thibautjombart/
http://adegenet.r-forge.r-project.org/
________________________________________
From: adegenet-forum-bounces at lists.r-forge.r-project.org [adegenet-forum-bounces at lists.r-forge.r-project.org] on behalf of Grant Gillis [grant.j.gillis at gmail.com]
Sent: 21 June 2012 13:22
To: adegenet-forum at lists.r-forge.r-project.org
Subject: [adegenet-forum] Reading SNP data as a genind oblect
Dear List,
I have SNP data structured as below. This seems to be accepted as a genind object however the obj at tab suggests to me something strange is going on. Too many alleles per locus. Any tips as to where I'm going wrong would be much appreciated.
Cheers,
Grant
> dat <- structure(c("A", "A", "A", "G", "G", "G", "A", "G", "NA", "G",
+ "G", "NA", "A", "A", "A", "A", "G", "A", "A", "C", "A", "A",
+ "C", "C"), .Dim = c(3L, 8L), .Dimnames = list(c("genot. 1", "genot. 2",
+ "genot. 3"), c("1", "1", "2", "2", "3", "3", "4", "4")))
1 1 2 2 3 3 4 4
genot. 1 "A" "G" "A" "G" "A" "A" "A" "A"
genot. 2 "A" "G" "G" "G" "A" "G" "C" "C"
genot. 3 "A" "G" "NA" "NA" "A" "A" "A" "C"
>
>
>
> obj <- df2genind(dat, ploidy=2, missing = NA)
>
>
> obj at tab
L1.1 L1.2 L1.3 L1.4 L2.1 L2.2 L2.3 L2.4 L2.5 L3.1 L3.2 L3.3 L3.4 L3.5 L4.1 L4.2 L4.3 L4.4 L4.5 L4.6
1 0.5 0.5 0.5 0.5 0.5 0.5 0.0 0.5 0.5 0.5 0.5 0.5 0.5 0.0 0.5 0.5 0.0 0.5 0.5 0.0
2 0.5 0.5 0.5 0.5 0.5 0.0 0.5 0.5 0.5 0.5 0.5 0.5 0.0 0.5 0.5 0.0 0.5 0.5 0.0 0.5
3 0.5 0.5 0.5 0.5 NA NA NA NA NA 0.5 0.5 0.5 0.5 0.0 0.5 0.5 0.0 0.5 0.0 0.5
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