MAP: Minimum average partial

In EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

Minimum average partial

Description

MAP() has been superseded by efa_map(), which is the recommended interface going forward.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

Usage

MAP(
  x,
  use = c("pairwise.complete.obs", "all.obs", "complete.obs", "everything",
    "na.or.complete"),
  cor_method = c("pearson", "spearman", "kendall", "poly", "tetra")
)

Arguments

x	A numeric matrix or data.frame. Can be either (a) a correlation matrix, or (b) raw data (rows = observations, columns = variables) from which correlations are computed.
use	Character string specifying the treatment of missing values when computing correlations. Passed to stats::cor(). Defaults to "pairwise.complete.obs".
cor_method	Character string specifying the correlation coefficient to be computed if raw data are supplied. One of "pearson", "spearman", or "kendall" (passed to stats::cor()), or "poly" / "tetra" for polychoric / tetrachoric correlations of ordinal / binary data (a two-step estimator). Defaults to "pearson".

Value

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

See Also

efa_map()

EFAtools documentation built on Aug. 21, 2026, 5:16 p.m.