pca_var: Compute variance explained by first PCA axis
In biodray/QuickPop: Tools to work around population genetics analyses
Description
Usage
Arguments
Details
Examples
Description
![[Experimental]](../help/figures/lifecycle-experimental.svg)
Compute variance explained by a few PCA axis.
Usage
1
pca_var(x, naxe = 10)
Arguments
x
glPCA object
naxe
number of axis for which you want to know explained variance
Details
PCA from glPca from the package Adegenet
Examples
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## simulate a toy dataset
x <- adegenet::glSim(50,4e3, 50, ploidy=2)
## perform PCA
pca1 <- adegenet::glPca(x, nf=3)
## Extract variance
res <- pca_var(pca1, naxe=3)
res
biodray/QuickPop documentation built on Dec. 19, 2021, 9:44 a.m.
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Description Usage Arguments Details Examples
Description
Compute variance explained by a few PCA axis.
Usage
1 | pca_var(x, naxe = 10)
|
Arguments
x |
glPCA object |
naxe |
number of axis for which you want to know explained variance |
Details
PCA from glPca from the package Adegenet
Examples
1 2 3 4 5 6 7 | ## simulate a toy dataset
x <- adegenet::glSim(50,4e3, 50, ploidy=2)
## perform PCA
pca1 <- adegenet::glPca(x, nf=3)
## Extract variance
res <- pca_var(pca1, naxe=3)
res
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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