aplpack (version 1.1.1)

faces: Chernoff Faces

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, nrow.plot, ncol.plot, scale = TRUE, 
         byrow = FALSE, main, labels, na.rm = FALSE, plot.faces=TRUE)
plot.faces(x, x.pos, y.pos, width = 1, height = 1, labels, ...)

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

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

na.rm

if TRUE 'NA' values are removed otherwise exchanged by mean of data

plot.faces

if FALSE no face is plotted

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

...

additional graphical arguments

Value

• 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.

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 details look at the literate program of faces

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. http://www.wiwi.uni-bielefeld.de/~wolf/ : S/R - functions : faces

See Also

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Examples

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

data(longley)
faces(longley[1:9,])

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)