WinCalcD {evobiR} | R Documentation |
Calculate Patterson's D-statistic in sliding windows
Description
This functions calculate Patterson's D-statistic in windows.
Usage
WinCalcD(alignment = "alignment.fasta", win.size = 100, step.size=50,
boot = F, replicate = 1000)
Arguments
alignment |
This is an alignment in fasta format |
win.size |
This is the size of the window used |
step.size |
This is the size of steps in the sliding window |
boot |
This indicates whether or not bootstrapping should be performed to estimate variance |
replicate |
Number of replicates to be used in estimating variance |
Details
This function is just an extension of CalcD and calculates D statistic for windows.
Value
Returns a table with the number of each type of site, Z scores and p-values for each window in the genome
Author(s)
Heath Blackmon
References
http://coleoguy.github.io/
Durand, Eric Y., et al. Testing for ancient admixture between closely related populations. Molecular biology and evolution 28.8 (2011): 2239-2252.
Eaton, D. A. R., and R. H. Ree. 2013. Inferring phylogeny and introgression using RADseq data: An example from flowering plants (Pedicularis: Orobanchaceae). Syst. Biol. 62:689-706
Examples
WinCalcD(alignment = system.file("1.fasta", package = "evobiR"),
win.size=100, step.size=50, boot = TRUE, replicate=10)