gl.dist.pop | R Documentation |
This script calculates various distances between populations based on allele frequencies (SNP genotypes) or frequency of presences in presence-absence data (Euclidean and Fixed-diff distances only).
gl.dist.pop(
x,
method = "euclidean",
plot.out = TRUE,
scale = FALSE,
output = "dist",
plot_theme = theme_dartR(),
plot_colors = two_colors,
save2tmp = FALSE,
verbose = NULL
)
x |
Name of the genlight containing the SNP genotypes [required]. |
method |
Specify distance measure [default euclidean]. |
plot.out |
If TRUE, display a histogram of the genetic distances, and a whisker plot [default TRUE]. |
scale |
If TRUE and method='Euclidean', the distance will be scaled to fall in the range [0,1] [default FALSE]. |
output |
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"]. |
plot_theme |
User specified theme [default theme_dartR()]. |
plot_colors |
Vector with two color names for the borders and fill [default two_colors]. |
save2tmp |
If TRUE, saves any ggplots and listings to the session temporary directory (tempdir) [default FALSE]. |
verbose |
Verbosity: 0, silent or fatal errors; 1, begin and end; 2, progress log ; 3, progress and results summary; 5, full report [default 2 or as specified using gl.set.verbosity]. |
The distance measure can be one of 'euclidean', 'fixed-diff', 'reynolds', 'nei' and 'chord'. Refer to the documentation of functions described in the the dartR Distance Analysis tutorial for algorithms and definitions.
An object of class 'dist' giving distances between populations
author(s): Arthur Georges. Custodian: Arthur Georges – Post to https://groups.google.com/d/forum/dartr
## Not run:
# SNP genotypes
D <- gl.dist.pop(possums.gl[1:90,1:100], method='euclidean')
D <- gl.dist.pop(possums.gl[1:90,1:100], method='euclidean',scale=TRUE)
#D <- gl.dist.pop(possums.gl, method='nei')
#D <- gl.dist.pop(possums.gl, method='reynolds')
#D <- gl.dist.pop(possums.gl, method='chord')
#D <- gl.dist.pop(possums.gl, method='fixed-diff')
#Presence-Absence data [only 10 individuals due to speed]
D <- gl.dist.pop(testset.gs[1:10,], method='euclidean')
## End(Not run)
res <- gl.dist.pop(platypus.gl)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.