eclust (version 0.1.0)

u_fisherZ: Calculate Fisher's Z Transformation for Correlations

Description

Calculate Fisher's Z transformation for correlations. This can be used as an alternative measure of similarity. Used in the s_generate_data function

Usage

u_fisherZ(n0, cor0, n1, cor1)
fisherTransform(n_1, r1, n_2, r2)

Arguments

n0

number of unexposed subjects

cor0

correlation matrix of unexposed covariate values. Should be dimension pxp

n1

number of exposed subjects

cor1

correlation matrix of exposed covariate values. Should be dimension pxp

n_1

number of unexposed subjects

r1

correlation for unexposed

n_2

number of exposed subjects

r2

correlation for exposed

Value

a pxp matrix of Fisher's Z transformation of correlations

References

https://en.wikipedia.org/wiki/Fisher_transformation

Examples

data("simdata")

X = simdata[,c(-1,-2)]
fisherScore <- u_fisherZ(n0 = 100, cor0 = cor(X[1:50,]),
                         n1 = 100, cor1 = cor(X[51:100,]))

dim(fisherScore)

fisherScore[1:5,1:5]