plot_varimax_z_pairs | R Documentation |
To avoid overplotting, plots data for a maximum of 1000 nodes. If there are more than 1000 nodes, samples 1000 nodes randomly proportional to row norms (i.e. nodes with embeddings larger in magniture are more likely to be sampled).
plot_varimax_z_pairs(fa, factors = 1:min(5, fa$rank), ...)
plot_varimax_y_pairs(fa, factors = 1:min(5, fa$rank), ...)
plot_svd_u(fa, factors = 1:min(5, fa$rank))
plot_svd_v(fa, factors = 1:min(5, fa$rank))
fa |
A |
factors |
The specific columns to index into. The most reliable option here is to index with an integer vector of column indices, but you could also use a character vector if columns have been named. By default returns all factors/singular vectors. |
... |
Arguments passed on to
|
A ggplot2::ggplot()
plot or GGally::ggpairs()
plot.
plot_varimax_y_pairs()
: Create a pairs plot of select Z factors
plot_svd_u()
: Create a pairs plot of select left singular vectors
plot_svd_v()
: Create a pairs plot of select right singular vectors
data(enron, package = "igraphdata")
fa <- vsp(enron, rank = 3)
plot_varimax_z_pairs(fa)
plot_varimax_y_pairs(fa)
plot_svd_u(fa)
plot_svd_v(fa)
screeplot(fa)
plot_mixing_matrix(fa)
plot_ipr_pairs(fa)
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