Plot 2D or 3D PCA for multiOmicDataset

Arguments

moo_counts: multiOmicDataSet containing count_type & sub_count_type in the counts slot
count_type: the type of counts to use. Must be a name in the counts slot (names(moo@counts)).
sub_count_type: used if count_type is a list in the counts slot: specify the sub count type within the list. Must be a name in names(moo@counts[[count_type]]).
principal_components: vector with numbered principal components to plot. Use 2 for a 2D pca with ggplot, or 3 for a 3D pca with plotly. (Default: c(1,2))
...: additional arguments forwarded to plot_pca_2d() (if 2 PCs) or plot_pca_3d() (if 3 PCs).

PCA plot