Calculate the total correlation of the variables with the axes to assess the quality of a dimensionality reduction.
Usage
# S4 method for dimRedResult
total_correlation(
object,
naxes = ndims(object),
cor_method = "pearson",
is.rotated = FALSE
)Arguments
- object
of class dimRedResult
- naxes
the number of axes to use for optimization.
- cor_method
the correlation method to use.
- is.rotated
if FALSE the object is rotated.
See also
Other Quality scores for dimensionality reduction:
AUC_lnK_R_NX,dimRedResult-method,
LCMC,dimRedResult-method,
Q_NX,dimRedResult-method,
Q_global,dimRedResult-method,
Q_local,dimRedResult-method,
R_NX,dimRedResult-method,
cophenetic_correlation,dimRedResult-method,
distance_correlation,dimRedResult-method,
mean_R_NX,dimRedResult-method,
plot_R_NX(),
quality,dimRedResult-method,
reconstruction_error,dimRedResult-method,
reconstruction_rmse,dimRedResult-method