Average square correlation by rows
Description
Finds in a computationally fast algorithm the average square correlation magnitude for every variable of a dataset.
Usage
1  cor2mean(mat)

Arguments
mat 
p \times n matrix with the pvariate dataset. 
Details
It is especially suitable for high dimensions. For instance it handles well dimensions of order of thousands.
Value
The average square correlation magnitude of the sample correlation matrix (including the diagonal) for every variable in mat
.
Author(s)
Mayer, Claus, Adria Caballe and Natalia Bochkina.
References
To come
See Also
cor2mean.adj
for adjusted average square correlation magnitude.
Examples
1 2 3  EX1 < pcorSimulator(nobs = 50, nclusters= 3, nnodesxcluster = c(100,30,50),
pattern = "powerLaw", plus = 0)
corsEX1 < cor2mean(t(EX1$y))
