rtoz: Functions for Fisher's z-transformation
In Thie1e/subsetcor: Test differences of correlations in subsets and run related simulation studies
Description
Usage
Arguments
See Also
Description
Convert a sample correlation coefficient (r) to Fisher's z or the other way
around, compute the expected value of z (E_z), compute the standard error of z
(se_z), and the standard error of z with a correction for finite samples (se_z_finite) with
Npop being the size of the full sample.
Usage
1
rtoz(r)
Arguments
r
Sample correlation coefficient
rho
Population correlation coefficient
n
Sample size
Npop
Population size in case of finite populations, e.g. when a subset was
extracted from a sample
See Also
rtoz, ztor, E_z, se_z, se_z_finite
Thie1e/subsetcor documentation built on May 9, 2019, 4:41 p.m.
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Description Usage Arguments See Also
Description
Convert a sample correlation coefficient (r) to Fisher's z or the other way around, compute the expected value of z (E_z), compute the standard error of z (se_z), and the standard error of z with a correction for finite samples (se_z_finite) with Npop being the size of the full sample.
Usage
1 | rtoz(r)
|
Arguments
r |
Sample correlation coefficient |
rho |
Population correlation coefficient |
n |
Sample size |
Npop |
Population size in case of finite populations, e.g. when a subset was extracted from a sample |
See Also
rtoz, ztor, E_z, se_z, se_z_finite
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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