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This script calculates various distances between individuals based on SNP genotypes.
utils.dist.ind.snp( x, method = "Euclidean", scale = FALSE, output = "dist", verbose = NULL )
Name of the genlight containing the genotypes [required].
Specify distance measure [default Euclidean].
If TRUE and method='Euclidean', the distance will be scaled to fall in the range [0,1] [default FALSE].
Specify the format and class of the object to be returned, dist for a object of class dist, matrix for an object of class matrix [default "dist"].
Verbosity: 0, silent or fatal errors; 1, begin and end; 2, progress log; 3, progress and results summary; 5, full report [default 2].
An object of class 'dist' or 'matrix' giving distances between individuals
The distance measure can be one of:
Euclidean -- Euclidean Distance applied to Cartesian coordinates defined by the loci, scored as 0, 1 or 2.
Simple -- simple mismatch, 0 where no alleles are shared, 1 where one allele is shared, 2 where both alleles are shared.
Absolute -- absolute mismatch, 0 where no alleles are shared, 1 where one or both alleles are shared.
Czekanowski (or Manhattan) calculates the city block metric distance by summing the scores on each axis (locus).
# NOT RUN { D <- utils.dist.ind.snp(testset.gl, method='Manhattan') D <- utils.dist.ind.snp(testset.gl, method='Simple') D <- utils.dist.ind.snp(testset.gl, method='Euclidean',scale=TRUE) # }
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