Plot PCA variance explained

Creates a scree plot showing variance explained by each PC.

Usage

plotPCAVariance(x, n_components = NULL)

Arguments

x

A waveform_pca object.

n_components

Number of components to show.

Value

A ggplot object.

References

van der Maaten L, Hinton G (2008). "Visualizing Data using t-SNE." Journal of Machine Learning Research, 9, 2579-2605.

See also

waveformPCA(), plotPCAScatter(), plotUMAP()

Examples

set.seed(1)
d <- matrix(rnorm(1000), 100, 10)
pca <- waveformPCA(d, method = "features")
plotPCAVariance(pca)