GraphDistatisCompromise {DistatisR}

Plot maps of the factor scores of the observations for a DISTATIS analysis

Description

Plot maps of the factor scores of the observations for a distatis analysis. GraphDistatis gives a map of the factor scores for the observations. The labels of the observations are plotted by defaults but can be omitted (see the nude=TRUE option).

Usage

GraphDistatisCompromise(
  FS,
  axis1 = 1,
  axis2 = 2,
  constraints = NULL,
  item.colors = NULL,
  ZeTitle = "Distatis-Compromise",
  nude = FALSE,
  Ctr = NULL
)

Arguments

FS

The factor scores of the observations ($res4Splus$Ffrom distatis).

axis1

The dimension for the horizontal axis of the plots.

axis2

The dimension for the vertical axis of the plots.

constraints

constraints for the axes

item.colors

A I\times 1 matrix (with I = # observations) of color names for the observations. If NULL (default), prettyGraphs chooses.

ZeTitle

General title for the plots.

nude

(default FALSE) When nude is TRUE the labels for the observations are not plotted (useful when editing the graphs for publication).

Ctr

Contributions of each observation. If NULL (default), these are computed from FS

Details

Note that, in the current version, the graphs are plotted as R-plots and are not passed back by the routine. So the graphs need to be saved "by hand" from the R graphic windows. We plan to improve this in a future version.

Value

constraints

A set of plot constraints that are returned.

item.colors

A set of colors for the observations are returned.

Author(s)

Derek Beaton and Herve Abdi

References

The plots are similar to the graphs from

Abdi, H., Valentin, D., O'Toole, A.J., & Edelman, B. (2005). DISTATIS: The analysis of multiple distance matrices. Proceedings of the IEEE Computer Society: International Conference on Computer Vision and Pattern Recognition. (San Diego, CA, USA). pp. 42-47.

Paper available from: https://personal.utdallas.edu/~herve/

See Also

GraphDistatisAll GraphDistatisCompromise GraphDistatisPartial GraphDistatisBoot GraphDistatisRv distatis

Examples

# 1. Load the DistAlgo data set (available from the DistatisR package)
data(DistAlgo)
# DistAlgo is a 6*6*4 Array (face*face*Algorithm)
#-----------------------------------------------------------------------------
# 2. Call the DISTATIS routine with the array of distance (DistAlgo) as parameter
DistatisAlgo <- distatis(DistAlgo)
# 3. Plot the compromise map with the labels for the first 2 dimensions
# DistatisAlgo$res4Splus$F are the factors scores for the 6 observations (i.e., faces)
# DistatisAlgo$res4Splus$PartialF are the partial factors scores
	##(i.e., one set of factor scores per algorithm)
 GraphDistatisCompromise(DistatisAlgo$res4Splus$F)