Plot an eigenstructure analysis (ESA) in 2D grid with 3D impression (pseudo 3D).

The ESA is a special type of biplot suggested by Raeithel (e.g. 1998). It uses midpoint centering as a default. Note that the eigenstructure analysis is just a special case of a biplot that can also be produced using the biplot2d() function with the arguments center=4, g=1, h=1. Here, only the arguments that are modified for the ESA biplot are described. To see all the parameters that can be changed see biplot2d() and biplotPseudo3d().

Usage

biplotEsaPseudo3d(x, center = 4, g = 1, h = 1, ...)

Arguments

x

repgrid object.

center

Numeric. The type of centering to be performed. 0= no centering, 1= row mean centering (construct), 2= column mean centering (elements), 3= double-centering (construct and element means), 4= midpoint centering of rows (constructs). Eigenstructure analysis uses midpoint centering (4).

g

Power of the singular value matrix assigned to the left singular vectors, i.e. the constructs. Eigenstructure analysis uses g=1.

h

Power of the singular value matrix assigned to the right singular vectors, i.e. the elements. Eigenstructure analysis uses h=1.

...

Additional parameters for be passed to biplotPseudo3d().

See also

• Unsophisticated biplot: biplotSimple();

• 2D biplots:biplot2d(), biplotEsa2d(), biplotSlater2d();

• Pseudo 3D biplots: biplotPseudo3d(), biplotEsaPseudo3d(), biplotSlaterPseudo3d();

• Interactive 3D biplots: biplot3d(), biplotEsa3d(), biplotSlater3d();

• Function to set view in 3D: home()

Examples

if (FALSE) {
# See examples in [biplotPseudo3d()] as the same arguments
# can used for this function.
}