Soil Compositions of Physical and Chemical Characteristics
Soil characteristics were measured on samples from three types of contours (Top, Slope, and Depression) and at four depths (0-10cm, 10-30cm, 30-60cm, and 60-90cm). The area was divided into 4 blocks, in a randomized block design.
These data provide good examples of MANOVA and canonical discriminant analysis in a somewhat
complex multivariate setting. They may be treated as a one-way design (ignoring
by using either
Gp as the factor, or a two-way randomized block
Depth (quantitative, so orthogonal
polynomial contrasts are useful).
Horton, I. F.,Russell, J. S., and Moore, A. W. (1968)
Multivariate-covariance and canonical analysis:
A method for selecting the most effective discriminators in a multivariate situation.
Biometrics 24, 845--858.
Khattree, R., and Naik, D. N. (2000) Multivariate Data Reduction and Discrimination with SAS Software. SAS Institute. Friendly, M. (in press) Data ellipses, HE plots and reduced-rank displays for multivariate linear models: SAS software and examples. Journal of Statistical Software.