View source: R/utils.dist.binary.r
utils.dist.binary | R Documentation |
WARNING: UTILITY SCRIPTS ARE FOR INTERNAL USE ONLY AND SHOULD NOT BE USED BY END USERS AS THEIR USE OUT OF CONTEXT COULD LEAD TO UNPREDICTABLE OUTCOMES.
utils.dist.binary(
x,
method = "simple",
scale = FALSE,
swap = FALSE,
type = "dist",
verbose = NULL
)
x |
Name of the genlight containing the genotypes [required]. |
method |
Specify distance measure [default simple]. |
scale |
If TRUE and method='euclidean', the distance will be scaled to fall in the range [0,1] [default FALSE]. |
swap |
If TRUE and working with presence-absence data, then presence (no disrupting mutation) is scored as 0 and absence (presence of a disrupting mutation) is scored as 1 [default FALSE]. |
type |
Specify the format and class of the object to be returned, dist for N11 object of class dist, matrix for an object of class matrix [default "dist"]. |
verbose |
Verbosity: 0, silent or fatal errors; 1, begin and end; 2, progress log; 3, progress and results summary; 5, full report [default 2]. @details This script calculates various distances between individuals based on sequence tag Presence/Absence data. The distance measure can be one of:
One might choose to disregard or downweight absences in comparison with presences because the homology of absences is less clear (mutation at one or the other, or both restriction sites). Your call. |
An object of class 'dist' or 'matrix' giving distances between individuals
Author: Arthur Georges. Custodian: Arthur Georges – Post to https://groups.google.com/d/forum/dartr
Other utilities:
gl.alf()
,
utils.check.datatype()
,
utils.collapse.matrix()
,
utils.dart2genlight()
,
utils.flag.start()
,
utils.hamming()
,
utils.het.pop()
,
utils.impute
,
utils.is.fixed()
,
utils.jackknife()
,
utils.n.var.invariant()
,
utils.plot.save()
,
utils.read.fasta()
,
utils.read.ped()
,
utils.recalc.avgpic()
,
utils.recalc.callrate()
,
utils.recalc.freqhets()
,
utils.recalc.freqhomref()
,
utils.recalc.freqhomsnp()
,
utils.recalc.maf()
,
utils.reset.flags()
,
utils.transpose()
,
utils.vcfr2genlight.polyploid()
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