The 3D biplot opens an interactive
3D device that can be rotated and zoomed using the mouse.
A 3D device facilitates the exploration of grid data as
significant proportions of the sum-of-squares are often
represented beyond the first two dimensions. Also, in a lot of
cases it may be of interest to explore the grid space from
a certain angle, e.g. to gain an optimal view onto the set
of elements under investigation (e.g. Raeithel, 1998).
Note that the eigenstructure analysis just a special case
of a biplot that can also be produced using the
`biplot3d()`

function with the arguments
`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). Default is

`4`

(scale midpoint centering).- g
Power of the singular value matrix assigned to the left singular vectors, i.e. the constructs.

- h
Power of the singular value matrix assigned to the right singular vectors, i.e. the elements.

- ...
Additional arguments to be passed to

`biplot3d()`

.

## 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()`

.