pval_cor_fisher: p-value of sample correlation coefficient (also in finite...
In Thie1e/subsetcor: Test differences of correlations in subsets and run related simulation studies
Description
Based on Fisher's z-transformation and a correction of the standard deviation for
finite samples: (Npop - n) / (Npop - 1)
Calculates probability of observing a sample correlation coefficient r given
a sample size n, a population size Npop and the population correlation coefficient rho.
Usage
1
pval_cor_fisher(r, rho, n, Npop, alternative = "two.sided")
Arguments
r
sample correlation coefficient
rho
population correlation coefficient
n
sample size
Npop
population size
alternative
a character string specifying the alternative hypothesis,
must be one of "two.sided" (default), "greater" or "less"
Thie1e/subsetcor documentation built on May 9, 2019, 4:41 p.m.
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Description
Based on Fisher's z-transformation and a correction of the standard deviation for finite samples: (Npop - n) / (Npop - 1) Calculates probability of observing a sample correlation coefficient r given a sample size n, a population size Npop and the population correlation coefficient rho.
Usage
1 | pval_cor_fisher(r, rho, n, Npop, alternative = "two.sided")
|
Arguments
r |
sample correlation coefficient |
rho |
population correlation coefficient |
n |
sample size |
Npop |
population size |
alternative |
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less" |
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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