Interface FactanalResult

Whether the optimisation converged.

optim's counts of function and gradient evaluations

Degrees of freedom of the statistic, ((p - factors)^2 - (p + factors)) / 2.

The (rotated) loadings, p rows by factors columns, columns sorted by decreasing sum of squares, each column's sum positive

The minimised criterion

Its upper chi-squared tail probability (NaN as STATISTIC)

The rotation matrix (absent for rotation: "none" and for one factor)

The factor scores (with scores other than "none"): one row per observation, one column per factor

The likelihood-ratio statistic (NaN without n.obs or with no degrees of freedom)

The uniquenesses, one per variable: the variance not explained by the factors.

R's warnings, each once, in R's order (an empty array when there are none).