Average square correlation by rows

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Description

Finds in a computationally fast algorithm the average square correlation magnitude for every variable of a dataset.

Usage

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cor2mean(mat)

Arguments

mat

p \times n matrix with the p-variate 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

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EX1      <- pcorSimulator(nobs = 50, nclusters= 3, nnodesxcluster = c(100,30,50), 
                          pattern = "powerLaw", plus = 0)
corsEX1  <- cor2mean(t(EX1$y))

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