Plot variance explained by PCA components

Plot the variance explained by each component. The number of components shown is controlled by `num_components`, with up to the first 10 componenets shown by default. If less than the requested number of components exist, then all the components will be shown.

plot_pca_variance(pca, num_components = 10)

Arguments

pca	output of pca_mip_data
num_components	numeric for number of maximum components to be shown

Examples

dat <- dummy_data()
dat <- filter_misc(dat = dat)
dat <- filter_coverage(dat = dat, min_coverage = 2)
dat <- melt_mip_data(dat = dat)
dat <- impute_mip_data(dat = dat)
pca <- pca_mip_data(dat = dat)
plot_pca_variance(pca, num_components = 3)