| correlation-tools | R Documentation |
Helper functions to compute important statistics from correlation coefficients.
r2z(r)
z2r(z)
r2t(r, n)
t2r(t, n)
r2p(r, n)
rconfint(r, n, alpha = 0.05)
compcorr(r1, r2, n1, n2)
## S3 method for class 'compcorr'
print(x, ...)
r, r1, r2 |
a correlation value |
z |
a Z-score |
n, n1, n2 |
sample sizes |
t |
a t-score |
alpha |
the significance level to use |
x |
a |
... |
ignored |
r2z(): converts correlation coefficients to z-scores
z2r(): converts z-scores to correlation coefficients
r2t(): Converts correlation coefficients to t-scores
t2r(): Converts t-scores to correlation coefficients
r2p(): Computes the two-sided p-value for a given correlation
rconfint(): Computes confidence intervals for one or multiple correlation coefficients
compcorr(): computes the significance of the difference between two correlation coefficients
print(compcorr): computes the significance of the difference between two correlation coefficients
cormean
z <- r2z(.5)
r <- z2r(z)
t<-r2t(r,30)
r2p(r,30)
print(rconfint(r,30))
print(compcorr(.5,.7,20,20))
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