promin: Promin rotation

Description Usage Arguments Value Author(s) References Examples

View source: R/promin.R

Description

This is a rotation criterion, developed by Lorenzo-Seva (1999), in which oblique target rotation (tarrotob) is applied using the Weighted Varimax solution (wvarim) as the target matrix.

Usage

1
promin(F1, nrs = 20)

Arguments

F1

Matrix to be rotated

nrs

Number of random starts

Value

Th

Transformation matrix to the pattern

loadings

Rotated matrix

U

Transformation matrix to the structure

Author(s)

Marlies Vervloet ([email protected])

References

Lorenzo-Seva, U. (1999). Promin: A method for oblique factor rotation. Multivariate Behavioral Research, 34(3), 347-365.

Marlies Vervloet, Henk A. Kiers, Wim Van den Noortgate, Eva Ceulemans (2015). PCovR: An R Package for Principal Covariates Regression. Journal of Statistical Software, 65(8), 1-14. URL http://www.jstatsoft.org/v65/i08/.

Examples

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Px <- matrix(rnorm(36),12,3)
print(Px)

Px_r <- promin(Px)
print(Px_r$loadings)

Example output

Loading required package: GPArotation
Loading required package: ThreeWay
Loading required package: MASS
Loading required package: Matrix
             [,1]       [,2]       [,3]
 [1,] -0.29379984  1.2632476 -0.1394956
 [2,]  0.23603085 -0.8409090  0.2504561
 [3,]  0.41601530 -0.1342925 -0.4731673
 [4,] -0.03602118  1.5772680 -0.7765469
 [5,]  1.22453837  0.7177604  0.8745540
 [6,]  0.49046272 -1.5928041 -1.7617817
 [7,]  0.02028151  0.5221651  1.2962799
 [8,]  0.67950603 -0.9782703  1.6690176
 [9,]  1.22428388  1.1072041  1.6937326
[10,]  1.11217800  0.2255444  0.5565285
[11,]  0.42714414 -0.2881342 -0.2447435
[12,]  0.02121868 -0.2954266 -2.7918720
            [,1]        [,2]         [,3]
 [1,] -0.4992031  1.24948295  0.092299659
 [2,]  0.2372243 -0.90383875 -0.004837671
 [3,]  0.7946620  0.01278861  0.422157941
 [4,]  0.1657287  1.76176625  0.476835474
 [5,]  0.1461769  0.09914121  1.760121901
 [6,]  2.3397781 -0.78302280 -0.077246472
 [7,] -1.2036677 -0.07155679  0.279377318
 [8,] -0.5102371 -1.68948154  0.550212651
 [9,] -0.6427488  0.10987422  1.942272513
[10,]  0.4502848 -0.19739673  1.434159160
[11,]  0.6586957 -0.22408682  0.392890777
[12,]  2.4148577  0.89674064 -0.229361681

PCovR documentation built on June 20, 2017, 9:15 a.m.