CHERNOFF FACES IN R

Vanward Statistics

Chernoff faces is a technique from multivariate analysis. The Chernoff faces technique was developed by Herman Chernoff and was presented in a paper in 1973 in the Journal of the American Statistical Association. Chernoff faces provide an intuitive way of looking at variation within a data set where the data is in a matrix of rows and columns (for example, a two way contingency tables).  A different face is created from each row in the data set. The differences between the faces are based on the columns of the data set. Each column is associated with one part of a facial expression (the first column is associated with the height of the face, the second with the width of the face, etc.). Chernoff designed the method for up to 18 facial components.  The faces() function in the TeachingDemos package of R uses 15 facial components, which were used here.

Components…

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