Thurstone: Thurstone Box Data

In GPArotation: Gradient Projection Factor Rotation

Thurstone Box Data

Description

Factor loading matrices derived from Thurstone's box data, a classic dataset in factor analysis consisting of measurements of physical dimensions of a set of boxes.

Usage

  data(Thurstone)

Format

Two numeric matrices:

• box26: 26 x 3 matrix of unrotated factor loadings (recommended).

• box20: 20 x 3 matrix of unrotated factor loadings (deprecated; use box26 instead).

Details

Loading the data makes two objects available:

box26 is a 26 \times 3 unrotated factor loading matrix for 26 variables measured on a set of boxes. This is the recommended matrix for use in examples and benchmarking. It appears frequently in the rotation literature as a benchmark dataset for comparing rotation criteria, particularly for assessing local minima.

box20 is a 20 \times 3 unrotated factor loading matrix for 20 variables measured on the same set of boxes. Deprecated: box20 will be removed in a future version of GPArotation. Use box26 instead.

Both matrices are suitable as input to GPForth, GPFoblq, and all rotation wrapper functions in GPArotation. For a richer collection of factor analysis datasets, see the psych package.

Source

Thurstone, L.L. (1947). Multiple Factor Analysis. University of Chicago Press.

See Also

GPForth, rotations, Harman, CCAI, WansbeekMeijer

GPArotation documentation built on April 29, 2026, 9:08 a.m.