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gl2svdquartets

Convert a genlight object to nexus format PAUP SVDquartets


Description

The output nexus file contains the snp data in one of two forms, depending upon what you regard as most appropriate. One form, that used by Chifman and Kubatko, has two lines per individual, one providing the reference SNP the second providing the alternate SNP (method=1). A second form, recommended by Dave Swofford, has a single line per individual, resolving heterozygous SNPs by replacing them with standard ambiguity codes (method=2).

Usage

gl2svdquartets(
  x,
  outfile = "svd.nex",
  outpath = tempdir(),
  method = 2,
  verbose = NULL
)

Arguments

x

– name of the genlight object containing the SNP data or tag P/A data [required]

outfile

– file name of the output file (including extension) [default svd.nex]

outpath

– path where to save the output file [default tempdir(), mandated by CRAN]. Use outpath=getwd() when calling this function or set.tempdir <- getwd() elsewhere in your script to direct output files to your working directory.

method

– method = 1, nexus file with two lines per individual; method = 2, nexus file with one line per individual, ambiguity codes for SNP genotypes, 0 or 1 for presence/absence data [default 2]

verbose

– verbosity: 0, silent or fatal errors; 1, begin and end; 2, progress log ; 3, progress and results summary; 5, full report [default 2 or as specified using gl.set.verbosity]

Details

If the data are tag presence/absence, then method=2 is assumed.

Author(s)

Arthur Georges (Post to https://groups.google.com/d/forum/dartr)

References

Chifman, J. and L. Kubatko. 2014. Quartet inference from SNP data under the coalescent. Bioinformatics 30: 3317-3324

Examples

gg <- testset.gl[1:20,1:100]
gg@other$loc.metrics <- gg@other$loc.metrics[1:100,]
gl2svdquartets(gg)

dartR

Importing and Analysing SNP and Silicodart Data Generated by Genome-Wide Restriction Fragment Analysis

v1.9.6
GPL-2
Authors
Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb]
Initial release
2021-04-29

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