Comparison data

CD() has been superseded by efa_cd(), which is the recommended interface going forward. It remains available and unchanged so existing code keeps working.

Usage

CD(
  x,
  n_factors_max = NA,
  N_pop = 10000,
  N_samples = 500,
  alpha = 0.3,
  cor_method = c("pearson", "spearman", "kendall", "poly", "tetra"),
  max_iter = 50
)

Arguments

x

data.frame or matrix. Dataframe or matrix of raw data.

n_factors_max

numeric. The maximum number of factors to test against. Larger numbers will increase the duration the procedure takes, but test more possible solutions. If left NA (default) the maximum number of factors for which the model is still over-identified (df > 0) is used.

N_pop

numeric. Size of finite populations of comparison data. Default is 10000.

N_samples

numeric. Number of samples drawn from each population. Default is 500.

alpha

numeric. The alpha level used to test the significance of the improvement added by an additional factor. Default is .30.

cor_method

character. One of "pearson", "spearman", or "kendall", passed to stats::cor(). "poly" and "tetra" are not supported because CD compares the data against simulated continuous reference data. Default is "pearson".

max_iter

numeric. The maximum number of iterations after which the iterative PAF procedure inside the comparison-data generation is halted; it does not cap an EFA of x. Default is 50.

Value

An object of class efa_retention, identical to the value of efa_cd(); see there for the components.

See also

efa_cd()