faces(x, which = <<see below>>, labels = 1:nrow(x), head = "",
max = ncol(x), nrow = <<see below>>, ncol = <<see below>>,
fill = T, scale = T, byrow = F)
x to be used as the first, second, etc.
parameter in the symbolic face.
The default is
1:min(15,ncol(x)).
See below for the meaning of the parameters.
x).
ncol(x) rows and
ncol(x)
columns of faces on each page.
TRUE, all unused parameters of the face
will be set to their nominal (midpoint) value. If
FALSE, all
features corresponding to unused parameters will not be
plotted.
TRUE, the columns of
x will be
independently scaled to (0,1). If
FALSE no scaling will be
done. The data values should then be scaled to the same
overall range by some other means; e.g., by scaling the whole
of
x to the range (0,1).
TRUE, plots are produced in row-wise order; if
FALSE,
plots are produced in column-wise order.
Features involving missing values are not drawn; another strategy would be
to assign the mean value of the variable to a missing value.
The feature parameters are: 1-area of face; 2-shape of face;
3-length of nose; 4-location of mouth; 5-curve of smile; 6-width
of mouth; 7, 8, 9, 10, 11-location, separation, angle, shape and
width of eyes; 12-location of pupil; 13, 14, 15-location, angle and
width of eyebrow.
faces
resets the graphical parameters
mfrow and
mfcol to
the value
c(1,1), even if they had a different value prior to calling
faces
.
Chernoff, H. (1973). The use of Faces to Represent Points in k-Dimensional Space Graphically. Journal of the American Statistical Association, 68, 361-368.
faces(chernoff2[1:9,],
head = "Chernoff's Second Example (9 observations)")
faces(t(cereal.attitude), labels = dimnames(cereal.attitude)[[2]],
ncol = 3)