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()
.
biplotEsa2d(x, center = 4, g = 1, h = 1, ...)
repgrid
object.
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
).
Power of the singular value matrix assigned to the left singular
vectors, i.e. the constructs. Eigenstructure analysis uses
g=1
.
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 biplot2d()
.
Raeithel, A. (1998). Kooperative Modellproduktion von Professionellen und Klienten. Erlaeutert am Beispiel des Repertory Grid. In A. Raeithel (1998). Selbstorganisation, Kooperation, Zeichenprozess. Arbeiten zu einer kulturwissenschaftlichen, anwendungsbezogenen Psychologie (p. 209-254). Opladen: Westdeutscher Verlag.
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()
if (FALSE) {
# See examples in [biplot2d()] as the same arguments
# can used for this function.
}
Run the code above in your browser using DataLab