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

Arguments
mat 
p \times n matrix with the pvariate dataset. 
Details
The adjusted average square correlation of variable i is given by
(n1)/(n2) \bar{r}_{i}^2  1/(n2)
where n is the sample size and \bar{r}_{i}^2 is the average square
correlation matrix for the ith row, which is computed by cor2mean
.
Value
A vector containing the adjusted square average correlation (excluding diagonal) for every variable.
Author(s)
Mayer, Claus, Adria Caballe and Natalia Bochkina.
References
To come
See Also
cor2mean
for average square correlations.
Examples
1 2 3 4  EX1 < pcorSimulator(nobs = 50, nclusters= 3, nnodesxcluster = c(100,30,50),
pattern = "powerLaw", plus = 0)
corsEX1 < cor2mean(t(EX1$y))
corsadjEX1 < cor2mean.adj(t(EX1$y))
