Plot variance explained by PCA axis

[Experimental] Compute variance explained by a few PCA axis

pca_varplot(x, naxe = 10)

Arguments

x

glPCA object
naxe

number of axis for which you want to know explained variance

Details

PCA from glPca

Examples

## simulate a toy dataset
x <- adegenet::glSim(50,4e3, 50, ploidy=2)
## perform PCA
pca1 <- adegenet::glPca(x, nf=3)
## Extract variance
pca_varplot(pca1, naxe=3)