| gl2bayescan {dartR.base} | R Documentation |
Converts a genlight object into a format suitable for input to Bayescan
Description
The output text file contains the SNP data and relevant BAyescan command lines to guide input.
Usage
gl2bayescan(x, outfile = "bayescan.txt", outpath = NULL, verbose = NULL)
Arguments
x |
Name of the genlight object containing the SNP data [required]. |
outfile |
File name of the output file (including extension) [default bayescan.txt]. |
outpath |
Path where to save the output file [default global working directory or if not specified, tempdir()]. |
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]. |
Value
returns no value (i.e. NULL)
Author(s)
Custodian: Luis Mijangos (Post to https://groups.google.com/d/forum/dartr)
References
Foll M and OE Gaggiotti (2008) A genome scan method to identify selected loci appropriate for both dominant and codominant markers: A Bayesian perspective. Genetics 180: 977-993.
See Also
Other linker:
gl2bayesAss(),
gl2bpp(),
gl2demerelate(),
gl2eigenstrat(),
gl2faststructure(),
gl2gds(),
gl2genalex(),
gl2genepop(),
gl2geno(),
gl2gi(),
gl2hiphop(),
gl2phylip(),
gl2plink(),
gl2related(),
gl2sa(),
gl2structure(),
gl2treemix(),
gl2vcf()
Examples
out <- gl2bayescan(testset.gl, outpath = tempdir())