Rostova.tbl {shipunov}

Calculates multiple correlation matrices (via 'factor1') and stacks them together

Description

Calculates multiple correlation matrices (via 'factor1') and stacks them together

Usage

Rostova.tbl(X, GROUP, ...)

Arguments

X

Data frame or matrix with values

GROUP

Number of grouping variable

...

Arguments to 'Cor.vec()'

Details

Calculates multiple correlation matrices (via GROUP) and stacks them together.

Output is suitable for PCA, distance calculations and other multivariate methods (Rostova, 1999; Rostova, 2002).

Value

Data frame with correlation structure

Author(s)

Alexey Shipunov

References

Rostova N.S. 1999. The variability of correlations systems between the morphological characters. Part 1. Natural populations of Leucanthemum vulgare (Asteraceae). Botanicheskij Zhurnal. 84(11): 50–66.

Rostova N.S. 2002. Correlations: Structure and Variability. Saint Petersburg, St. Petersburg University Publisher.

See Also

Cor.vec

Examples

Trees <- trees
Trees[, 4] <- sample(letters[1:3], nrow(Trees), replace=TRUE)
(rr <- Rostova.tbl(Trees, 4))
plot(hclust(dist(rr)))