test_replen | R Documentation |
This function will test for consistency in the sense that all alleles are able to be represented as discrete units after division and rounding.
test_replen(gid, replen)
gid |
a |
replen |
a numeric vector of repeat motif lengths. |
This function is modified from the version used in \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5281/zenodo.13007")}.
a logical vector indicating whether or not the repeat motif length is consistent.
Zhian N. Kamvar
Zhian N. Kamvar, Meg M. Larsen, Alan M. Kanaskie, Everett M. Hansen, & Niklaus J. Grünwald. Sudden_Oak_Death_in_Oregon_Forests: Spatial and temporal population dynamics of the sudden oak death epidemic in Oregon Forests. ZENODO, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5281/zenodo.13007")}, 2014.
Kamvar, Z. N., Larsen, M. M., Kanaskie, A. M., Hansen, E. M., & Grünwald, N. J. (2015). Spatial and temporal analysis of populations of the sudden oak death pathogen in Oregon forests. Phytopathology 105:982-989. doi: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1094/PHYTO-12-14-0350-FI")}
Ruzica Bruvo, Nicolaas K. Michiels, Thomas G. D'Souza, and Hinrich Schulenburg. A simple method for the calculation of microsatellite genotype distances irrespective of ploidy level. Molecular Ecology, 13(7):2101-2106, 2004.
fix_replen
bruvo.dist
bruvo.msn
bruvo.boot
data(Pram)
(Pram_replen <- setNames(c(3, 2, 4, 4, 4), locNames(Pram)))
test_replen(Pram, Pram_replen)
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