gd.kosman | R Documentation |
Calculates pairwise genetic distances between all individuals using the individual genetic distance measure of Kosman and Leonard (2005). This function is similiar to the dist.codom in the package mmod. The two functions differ in their treatment of individuals with missing data. dist.codom omits individuals from the calculation of pairwise individual genetic distances while this function includes individuals with missing data. This is done by simply calculating the mean individual pairwise genetic distance over all loci for which there are values. Note that depending on your computers capabilities, you may run into memory errors when this function is used on datasets with large numbers of individuals (>1000). Additionally, the time for this function to run can be lengthy. Using a PC with a 3.5 GHz processor to calculate pairwise genetic distances between individuals with 36 diploid loci it took 0.3 seconds for 100 individuals, 5 seconds for 500 individuals, 21 seconds for 1000 individuals, 84 seconds for 2000 individuals, and 194 seconds for 3000 individuals.
gd.kosman(population)
population |
this is the |
Returns a list with two distance matrices. The first (geneticdist) contains pairwise individual genetic distances for each individual within a population, the second (loci_used) provides the number of loci that were used to calculate pairwise individual genetic distances between a pair of individuals.
Aaron Adamack, aaron.adamack@canberra.edu.au
Kosman E., Leonard K.J. 2005. Similarity coefficients for molecular markers in studies of genetic relationships between individuals for haploid, diploid, and polyploidy species. Molecular Ecology 14:415-424.
popgenreport
## Not run:
data(bilby)
popgenreport(bilby, mk.gd.kosman = TRUE, mk.pdf=FALSE)
## End(Not run)
#to get a pdf output you need to have a running Latex version installed on your system.
#popgenreport(bilby, mk.gd.kosman = TRUE, mk.pdf=TRUE)
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