Soils: Soil Compositions of Physical and Chemical Characteristics
Description
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.
Usage
data(Soils)
Arguments
source
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.
Biometrics24, 845--858.
http://www.stat.lsu.edu/faculty/moser/exst7037/soils.sas
Details
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 Block),
by using either Group or Gp as the factor, or a two-way randomized block
design using Block, Contour and Depth (quantitative, so orthogonal
polynomial contrasts are useful).
References
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.