00.GPArotation: Gradient Projection Algorithms for Factor Rotation In GPArotation: Gradient Projection Factor Rotation

 00.GPArotation R Documentation

Gradient Projection Algorithms for Factor Rotation

Description

GPA Rotation for Factor Analysis

The GPArotation package contains functions for the rotation of factor loadings matrices. The functions implement Gradient Projection (GP) algorithms for orthogonal and oblique rotation. Additionally, a number of rotation criteria are provided. The GP algorithms minimize the rotation criterion function, and provide the corresponding rotation matrix. For oblique rotation, the covariance / correlation matrix of the factors is also provided. The rotation criteria implemented in this package are described in Bernaards and Jennrich (2005). Theory of the GP algorithm is described in Jennrich (2001, 2002) publications.

Additionally 2 rotation methods are provided that do not rely on GP (eiv and echelon)

 Package: GPArotation Depends: R (>= 2.0.0) License: GPL Version 2. URL: https://optimizer.r-forge.r-project.org/GPArotation_www/

Index of functions:

Wrapper functions that include random starts option

 `GPFRSorth` Orthogonal rotation with random starts `GPFRSorth` Oblique rotation with random starts

Gradient Projection Rotation Algorithms (code unchanged since 2008)

 `GPForth` Orthogonal rotation function `GPForth` Oblique rotation function

Utility functions

 `Random.Start` Generate random a starting matrix `NormalizingWeight` Kaiser normalization (not exported from NAMESPACE) `print.GPArotation` Print results (S3 level function) `summary.GPArotation` Summary of results (S3 level function)

Rotations

 `oblimin` Oblimin rotation `quartimin` Quartimin rotation `targetT` Orthogonal Target rotation `targetQ` Oblique Target rotation `pstT` Orthogonal Partially Specified Target rotation `pstQ` Oblique Partially Specified Target rotation `oblimax` Oblimax rotation `entropy` Minimum Entropy rotation `quartimax` Quartimax rotation `Varimax` Varimax rotation `simplimax` Simplimax rotation `bentlerT` Orthogonal Bentler's Invariant Pattern Simplicity rotation `bentlerQ` Oblique Bentler's Invariant Pattern Simplicity rotation `tandemI` The Tandem Criteria Principle I rotation `tandemII` The Tandem Criteria Principle II rotation `geominT` Orthogonal Geomin rotation `geominQ` Oblique Geomin rotation `bigeominT` Orthogonal Bi-Geomin rotation `bigeominQ` Oblique Bi-Geomin rotation `cfT` Orthogonal Crawford-Ferguson Family rotation `cfQ` Oblique Crawford-Ferguson Family rotation `equamax` Equamax rotation `parsimax` Parsimax rotation `infomaxT` Orthogonal Infomax rotation `infomaxQ` Oblique Infomax rotation `mccammon` McCammon Minimum Entropy Ratio rotation `varimin` Varimin rotation `bifactorT` Orthogonal Bifactor rotation `bifactorQ` Oblique Bifactor rotation `eiv` Errors-in-Variables rotation `echelon` Echelon rotation

vgQ routines to compute value and gradient of the criterion (not exported from NAMESPACE)

 `vgQ.oblimin` Oblimin vgQ `vgQ.quartimin` Quartimin vgQ `vgQ.target` Target vgQ `vgQ.pst` Partially Specified Target vgQ `vgQ.oblimax` Oblimax vgQ `vgQ.entropy` Minimum Entropy vgQ `vgQ.quartimax` Quartimax vgQ `vgQ.varimax` Varimax vgQ `vgQ.simplimax` Simplimax vgQ `vgQ.bentler` Bentler's Invariant Pattern Simplicity vgQ `vgQ.tandemI` The Tandem Criteria Principle I vgQ `vgQ.tandemII` The Tandem Criteria Principle II vgQ `vgQ.geomin` Geomin vgQ `vgQ.bigeomin` Bi-Geomin vgQ `vgQ.cf` Crawford-Ferguson Family vgQ `vgQ.infomax` Infomax vgQ `vgQ.mccammon` McCammon Minimum Entropy Ratio vgQ `vgQ.varimin` Varimin vgQ `vgQ.bifactor` Bifactor vgQ

Data sets included in the GPArotation package

 `Harman` Initial factor loading matrix for Harman's 8 physical variables `Thurstone` box20 and box26 initial factor loadings matrices `WansbeekMeijer` Netherlands TV viewership

Author(s)

Coen A. Bernaards and Robert I. Jennrich with some R modifications by Paul Gilbert.

Code is modified from original source ‘splusfunctions.net’ available at https://optimizer.r-forge.r-project.org/GPArotation_www/.

References

The software reference is

Bernaards, C.A. and Jennrich, R.I. (2005) Gradient Projection Algorithms and Software for Arbitrary Rotation Criteria in Factor Analysis. Educational and Psychological Measurement, 65, 676–696.

Theory of gradient projection algorithms may be found in:

Jennrich, R.I. (2001). A simple general procedure for orthogonal rotation. Psychometrika, 66, 289–306.

Jennrich, R.I. (2002). A simple general method for oblique rotation. Psychometrika, 67, 7–19.

`GPFRSorth`, `GPFRSoblq`, `rotations`, `vgQ`