Based on approximation via simulation specified by given simulation design.
Convenience wrapper for combining estimate_final_correlation and
plot_cor_network.
plot_estimated_cor_network(
obj,
n_obs = 1e+05,
cor_type = "pearson",
seed = NULL,
show_categorical = TRUE,
return_network = FALSE,
...
)If return_network is TRUE, then an igraph network object is returned
that can be plotted by the user using e.g. the interactive
igraph::tkplot function. Otherwise, the network
object is plotted directly and no output is returned.
S3 class object of type simdesign (or inheriting from it).
Number of observations to simulate.
Can be either a character (pearson, spearman, kendall) which is
passed to stats::cor or a function, which is
directly used to compute the correlation matrix on the simulated data.
Such a function is expected to take a single input matrix (and possibly other
arguments which can be set via ...) and output a single matrix.
Random number seed. NULL does not change the current seed.
If TRUE, marks categorical variables differently from numeric ones.
Determined by the types_final slot of the obj argument.
If TRUE, the igraph network object is returned and can be plotted by
the user using e.g. the interactive igraph::tkplot
function.
Passed to plot_cor_network.
This function is useful to estimate the correlation network of a simulation
setup after the initial underlying distribution Z has been transformed to
the final dataset X.
plot_cor_network,
estimate_final_correlation