This function transform a correlation coefficient into the scale of Fischer's Z.
correlation coefficient (between two variables)
This function is typically used in the context of forming a confidence interval for a population correlation coefficient. Note that, in that situation, the two variables are assumed to follow a bivariate normal distribution (e.g., Hays, 1994).
returns a value on the scale of Fisher's Z, also called Fisher's emphZ\', from a given correlation value.
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)
Kelley, K. (2007). Confidence intervals for standardized effect sizes: Theory, application, and implementation. Journal of Statistical Software, 20(8), 1–24.
Hays, W. L. (1994). Statistics (5th ed). Fort Worth, TX: Harcourt Brace College Publishers)
# From Hays (1994, pp. 649--650) transform_r.Z(.35)
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