faces: Chernoff Faces

In aplpack: Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots', Slider Functions and Others

Description

faces represent the rows of a data matrix by faces. plot.faces plots faces into a scatterplot.

Usage

faces(xy, which.row, fill = FALSE, face.type = 1, nrow.plot, ncol.plot, 
    scale = TRUE, byrow = FALSE, main, labels, print.info = TRUE, 
    na.rm = FALSE, ncolors = 20, col.nose = rainbow(ncolors), 
    col.eyes = rainbow(ncolors, start = 0.6, end = 0.85), 
    col.hair = terrain.colors(ncolors), col.face = heat.colors(ncolors), 
    col.lips = rainbow(ncolors, start = 0, end = 0.2), 
    col.ears = rainbow(ncolors, start = 0, end = 0.2), plot.faces = TRUE, cex = 2) 
## S3 method for class 'faces'
plot(x, x.pos, y.pos, face.type = 1, width = 1, height = 1, labels, 
        ncolors = 20, col.nose = rainbow(ncolors), col.eyes = rainbow(ncolors, 
        start = 0.6, end = 0.85), col.hair = terrain.colors(ncolors), 
        col.face = heat.colors(ncolors), col.lips = rainbow(ncolors, 
        start = 0, end = 0.2), col.ears = rainbow(ncolors, start = 0, 
        end = 0.2), cex = 2, ...)

Arguments

xy	xy data matrix, rows represent individuals and columns variables
which.row	defines a permutation of the rows of the input matrix
fill	if(fill==TRUE), only the first nc attributes of the faces are transformed, nc is the number of columns of xy
face.type	an integer between 0 and 2 with the meanings: 0 = line drawing faces, 1 = the elements of the faces are painted, 2 = Santa Claus faces are drawn
nrow.plot	number of columns of faces on graphics device
ncol.plot	number of rows of faces
scale	if(scale==TRUE), variables will be normalized
byrow	if(byrow==TRUE), xy will be transposed
main	title
labels	character strings to use as names for the faces
print.info	if TRUE information about usage of variables for face elements are printed
na.rm	if TRUE 'NA' values are removed otherwise exchanged by mean of data
plot.faces	if FALSE no face is plotted
cex	size of labels of faces
x	an object of class faces computed by faces
x.pos	x coordinates of positions of faces
y.pos	y coordinates of positions of faces
width	width of the faces
height	height of the faces
ncolors	number of colors in the palettes for painting the elements of the faces
col.nose	palette of colors for painting the nose
col.eyes	palette of colors for painting the eyes
col.hair	palette of colors for painting the hair
col.face	palette of colors for painting the face
col.lips	palette of colors for painting the lips
col.ears	palette of colors for painting the ears
...	additional graphical arguments

Details

Explanation of parameters: 1-height of face, 2-width of face, 3-shape of face, 4-height of mouth, 5-width of mouth, 6-curve of smile, 7-height of eyes, 8-width of eyes, 9-height of hair, 10-width of hair, 11-styling of hair, 12-height of nose, 13-width of nose, 14-width of ears, 15-height of ears.

For painting elements of a face the colors of are found by averaging of sets of variables: (7,8)-eyes:iris, (1,2,3)-lips, (14,15)-ears, (12,13)-nose, (9,10,11)-hair, (1,2)-face.

Further details can be found in the literate program of faces.

Value

list of two elements: The first element out$faces is a list of standardized faces of class faces, this object could be plotted by plot.faces; a plot of faces is created on the graphics device if plot.faces=TRUE. The second list is short description of the effects of the variables.

Note

version 01/2009

Author(s)

H. P. Wolf

References

Chernoff, H. (1973): The use of faces to represent statistiscal assoziation, JASA, 68, pp 361–368. The smooth curves are computed by an algorithm found in Ralston, A. and Rabinowitz, P. (1985): A first course in numerical analysis, McGraw-Hill, pp 76ff. https://www.uni-bielefeld.de/fakultaeten/wirtschaftswissenschaften/fakultaet/lehrende-ehemalige/pwolf/wolf_aplpack/index.xml

See Also

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Examples

faces()
faces(face.type=1)

faces(rbind(1:3,5:3,3:5,5:7))

data(longley)
faces(longley[1:9,],face.type=0)
faces(longley[1:9,],face.type=1)

plot(longley[1:16,2:3],bty="n")
a<-faces(longley[1:16,],plot=FALSE)
plot.faces(a,longley[1:16,2],longley[1:16,3],width=35,height=30)

set.seed(17)
faces(matrix(sample(1:1000,128,),16,8),main="random faces")

a<-faces(rbind(1:3,5:3,3:5,5:7),plot.faces=FALSE)
plot(0:5,0:5,type="n")
plot(a,x.pos=1:4,y.pos=1:4,1.5,0.7)
# during Christmastime
faces(face.type=2)

aplpack documentation built on Sept. 30, 2021, 5:08 p.m.