pval_cor: p-value of sample correlation coefficient
In Thie1e/subsetcor: Test differences of correlations in subsets and run related simulation studies
Description
Based on the closed form solution in Provost (2015). May fail for large n (>200).
Calculates probability of observing a sample correlation coefficient r given
a sample size n and the population correlation coefficient rho. Not suitable
for assessing the probability of subset correlation coefficients, i.e. correlation
coefficients from finite populations.
Usage
1
pval_cor(r, rho, n, alternative = "greater")
Arguments
r
sample correlation coefficient
rho
population correlation coefficient
n
sample size
alternative
a character string specifying the alternative hypothesis,
must be one of "greater" (default) or "less"
Thie1e/subsetcor documentation built on May 9, 2019, 4:41 p.m.
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Description
Based on the closed form solution in Provost (2015). May fail for large n (>200). Calculates probability of observing a sample correlation coefficient r given a sample size n and the population correlation coefficient rho. Not suitable for assessing the probability of subset correlation coefficients, i.e. correlation coefficients from finite populations.
Usage
1 | pval_cor(r, rho, n, alternative = "greater")
|
Arguments
r |
sample correlation coefficient |
rho |
population correlation coefficient |
n |
sample size |
alternative |
a character string specifying the alternative hypothesis, must be one of "greater" (default) 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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