faces {aplpack} | R Documentation |
faces
represent the rows of a data matrix by faces.
plot.faces
plots faces into a scatterplot.
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) plot.faces(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), ...)
xy |
|
which.row |
defines a permutation of the rows of the input matrix |
fill |
|
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 |
|
byrow |
|
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 |
x |
an object of class |
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 |
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, (12,13)-iris, (1,2,3)-lips, (14,15)-ears, (9)-nose, (10)-hair, (11)-face.
Further details can be found in the literate program of faces
.
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.
version 01/2009
H. P. Wolf
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/mitarbeiter/wolf/ : S/R - functions : faces
—
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)