transform_r.Z: Transform a correlation coefficient (r) into the scale of...
In MBESS: The MBESS R Package
View source: R/transform_r.Z.R
transform_r.Z R Documentation
Transform a correlation coefficient (r) into the scale of Fisher's Z^\prime
Description
This function transform a correlation coefficient into the scale of Fisher's Z^\prime.
Usage
transform_r.Z(r)
Arguments
r
correlation coefficient (between two variables)
Details
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).
Value
returns a value on the scale of Fisher's Z^\prime, also called Fisher's Z, from a given correlation value.
Author(s)
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)
References
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)
See Also
transform_Z.r, ci.cc
Examples
# From Hays (1994, pp. 649--650)
transform_r.Z(.35)
MBESS documentation built on Oct. 26, 2023, 9:07 a.m.
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View source: R/transform_r.Z.R
| transform_r.Z | R Documentation |
Transform a correlation coefficient (r) into the scale of Fisher's Z^\prime
Description
This function transform a correlation coefficient into the scale of Fisher's Z^\prime.
Usage
transform_r.Z(r)
Arguments
r |
correlation coefficient (between two variables) |
Details
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).
Value
returns a value on the scale of Fisher's Z^\prime, also called Fisher's Z, from a given correlation value.
Author(s)
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)
References
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)
See Also
transform_Z.r, ci.cc
Examples
# From Hays (1994, pp. 649--650)
transform_r.Z(.35)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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